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2 episodes with Computational science
2 episodes with Computational science
2 episodes with Computational science
2 episodes with Computational science
2 episodes with Computational science
Introducing Part 4 – New Frontiers in AI & Drug Discovery from Science Will Win.Follow the show: Science Will WinSo far in this season, we've explored how innovations throughout history have brought us to where we are now. We talked about how drug discovery changed from a serendipity-based to data-based endeavor. Then, we explored the powerful hardware and smart software required to accommodate big data. Now, the door to the future of AI in drug discovery is open. In our final episode, we're looking toward the future, to understand where today's advancements could potentially take us. Featured Guests:–Charlotte Allerton, Head of Preclinical and Translational Sciences at Pfizer–Daniel Ziemek, Vice President of Integrative Biology and Systems Immunology at Pfizer–Enoch Huang, Head of Machine Learning and Computational Sciences at Pfizer–Dr. Raza Ali, group leader at the University of Cambridge Cancer Research UK Institute, pathologist Season 4 of Science Will Win is created by Pfizer and hosted by Jeremiah Owyang, entrepreneur, investor, and tech industry analyst. It's produced by Wonder Media Network. DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.
Introducing Part 2 – How Video Games Helped Pave the Way for AI in Medicine from Science Will Win.Follow the show: Science Will WinLast episode discussed data and how crucial large swaths of data are in assisting drug development. But more data requires a lot of storage – and that's where hardware comes in. To make use of big data and all its possibilities, scientists need new tools at their disposal. In this episode, host Jeremiah Owyang, alongside expert guests, traces the rise of large-scale computational resources used throughout the medical industry today.Featured Guests:–Daniel Ziemek, Vice President of Integrative Biology and Systems Immunology at Pfizer–Enoch Huang, Head of Machine Learning and Computational Sciences at Pfizer–Tor Aamodt, professor at the University of British ColumbiaSeason 4 of Science Will Win is created by Pfizer and hosted by Jeremiah Owyang, entrepreneur, investor, and tech industry analyst. It's produced by Wonder Media Network. DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.
Introducing Part 4 – New Frontiers in AI & Drug Discovery from Science Will Win.Follow the show: Science Will WinSo far in this season, we've explored how innovations throughout history have brought us to where we are now. We talked about how drug discovery changed from a serendipity-based to data-based endeavor. Then, we explored the powerful hardware and smart software required to accommodate big data. Now, the door to the future of AI in drug discovery is open. In our final episode, we're looking toward the future, to understand where today's advancements could potentially take us. Featured Guests:–Charlotte Allerton, Head of Preclinical and Translational Sciences at Pfizer–Daniel Ziemek, Vice President of Integrative Biology and Systems Immunology at Pfizer–Enoch Huang, Head of Machine Learning and Computational Sciences at Pfizer–Dr. Raza Ali, group leader at the University of Cambridge Cancer Research UK Institute, pathologist Season 4 of Science Will Win is created by Pfizer and hosted by Jeremiah Owyang, entrepreneur, investor, and tech industry analyst. It's produced by Wonder Media Network. DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.
Introducing Part 4 – New Frontiers in AI & Drug Discovery from Science Will Win.Follow the show: Science Will WinSo far in this season, we've explored how innovations throughout history have brought us to where we are now. We talked about how drug discovery changed from a serendipity-based to data-based endeavor. Then, we explored the powerful hardware and smart software required to accommodate big data. Now, the door to the future of AI in drug discovery is open. In our final episode, we're looking toward the future, to understand where today's advancements could potentially take us. Featured Guests:–Charlotte Allerton, Head of Preclinical and Translational Sciences at Pfizer–Daniel Ziemek, Vice President of Integrative Biology and Systems Immunology at Pfizer–Enoch Huang, Head of Machine Learning and Computational Sciences at Pfizer–Dr. Raza Ali, group leader at the University of Cambridge Cancer Research UK Institute, pathologist Season 4 of Science Will Win is created by Pfizer and hosted by Jeremiah Owyang, entrepreneur, investor, and tech industry analyst. It's produced by Wonder Media Network. DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.
Introducing Part 2 – How Video Games Helped Pave the Way for AI in Medicine from Science Will Win.Follow the show: Science Will WinLast episode discussed data and how crucial large swaths of data are in assisting drug development. But more data requires a lot of storage – and that's where hardware comes in. To make use of big data and all its possibilities, scientists need new tools at their disposal. In this episode, host Jeremiah Owyang, alongside expert guests, traces the rise of large-scale computational resources used throughout the medical industry today.Featured Guests:–Daniel Ziemek, Vice President of Integrative Biology and Systems Immunology at Pfizer–Enoch Huang, Head of Machine Learning and Computational Sciences at Pfizer–Tor Aamodt, professor at the University of British ColumbiaSeason 4 of Science Will Win is created by Pfizer and hosted by Jeremiah Owyang, entrepreneur, investor, and tech industry analyst. It's produced by Wonder Media Network. DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.
In this episode, Tyrome Smith, Senior Advisor at the Applied Research Institute for Mathematical & Computational Science shares his inspiring leadership journey, highlights the critical role of strategic partnerships, and explores the future of mission-focused entrepreneurship. Learn how market intelligence and AI are transforming public sector innovation, reshaping supply chains, and driving generational impact. Don't miss insights on the Chips and Science Act, public-private partnerships, and the ethical considerations of data-driven solutions. 00:35- About Tyrome 'Ty' Smith Ty is a director of strategic partnership, a common mission project whose mission is to create an international network of entrepreneurs driven to solve the critical challenges of our time. He has also been appointed to a three-year term on the National Institute of Standards and Technology, Manufacturing Extension Partnership advisory board. --- Support this podcast: https://podcasters.spotify.com/pod/show/tbcy/support
Timestamps: 1:53 - Accidentally inventing neural networks 7:19 - What does “manukai” mean? 19:44 - Competition in the AI industry 27:35 - Fundraising for AI 32:34 - Does being a spin-off pay off? This episode was produced in collaboration with startup days, taking place next year on May 14th 2025. Click here to purchase your ticket. About Pascal Weber: Pascal Weber is the co-founder and CEO of Manukai, an ETH spin-off automating repetitive programming tasks by leveraging available production data. He holds a PhD in Computational Science and Engineering from ETH and worked at Harvard and the ETH AI Center before starting Manukai in 2023. The Manukai name comes from the agglutination of “manu”, short for “manufacturing”, and “kaizen”, a Japanese term often used to refer to the principle of continuous improvement in manufacturing. Manukai's goal is to take each and every task that a polymechanic may be responsible for and automate them, while still requiring confirmation from the technician — think of it like AI playing autocomplete, and you telling it “yes” or “no”. This technology will help improve quality in these processes and increase their speed. It will also free the polymechanic to spend more of his or her time doing creative work, instead of repetitive, manual drudgery. Don't forget to give us a follow on Twitter, Instagram, Facebook and Linkedin, so you can always stay up to date with our latest initiatives. That way, there's no excuse for missing out on live shows, weekly giveaways or founders' dinners.
Dr. Jennifer Rexford is the Provost, Gordon Y. S. Wu Professor in Engineering, Professor of Computer Science, and formerly the Chair of the Department of Computer Science at Princeton University. She is an accomplished computer scientists whose research has focused on analysis of computer networks, and in particular network routing, performance measurement, and network management. She is an affiliated faculty member in electrical and computer engineering, operations research and financial engineering, applied and computational mathematics, gender and sexuality studies, Center for Information Technology Policy, High Meadows Environmental Institute and Princeton Institute for Computational Science and Engineering.
Hello there!In this episode of The Crop Science Podcast Show, Dr. Zhou Zhang, an associate professor at UW-Madison, shares her expertise in satellite remote sensing and drone-based image platforms for precision agriculture. Dr. Zhang discusses her innovative research on yield prediction models, the integration of AI in agriculture, and the applications of remote sensing data for farmers, insurance companies, and government agencies. Tune in to discover how these technologies could make a difference in day-to-day operations."Remote sensing technology can significantly enhance agricultural productivity by providing yield predictions much earlier in the season."Meet the guest: Dr. Zhou Zhang is an Associate Professor at UW-Madison specializing in precision agriculture. She holds a Ph.D. in Civil Engineering and Computational Science from Purdue University. Her research focuses on multi-source remote sensing, machine learning, and AI applications in precision agriculture. With a rich background as a postdoctoral researcher at UC Davis and several notable publications, Dr. Zhang's expertise lies in harnessing advanced technologies to enhance agricultural productivity.What you will learn:(00:00) Highlight(01:08) Introduction(05:33) Remote sensing in agriculture(07:26) Yield estimation data(11:36) Large-scale data usage(14:46) AI's role in agriculture(19:59) New technologies Challenges(26:19) Final three questionsThe Crop Science Podcast Show is trusted and supported by the innovative companies:- CNH Reman- KWSAre you ready to unleash the podcasting potential of your company?
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Quick look: applications of chaos theory, published by Elizabeth on August 19, 2024 on LessWrong. Introduction Recently we (Elizabeth Van Nostrand and Alex Altair) started a project investigating chaos theory as an example of field formation.[1] The number one question you get when you tell people you are studying the history of chaos theory is "does that matter in any way?".[2] Books and articles will list applications, but the same few seem to come up a lot, and when you dig in, application often means "wrote some papers about it" rather than "achieved commercial success". In this post we checked a few commonly cited applications to see if they pan out. We didn't do deep dives to prove the mathematical dependencies, just sanity checks. Our findings: Big Chaos has a very good PR team, but the hype isn't unmerited either. Most of the commonly touted applications never received wide usage, but chaos was at least instrumental in several important applications that are barely mentioned on wikipedia. And it was as important for weather as you think it is. Applications Cryptography and random number generators- Strong No (Alex) The wikipedia page for Chaos theory has a prominent section on cryptography. This sounds plausible; you certainly want your encryption algorithm to display sensitive dependence on initial conditions in the sense that changing a bit of your input randomizes the bits of your output. Similarly, one could imagine using the sequence of states of a chaotic system as a random number generator. However a quick google search makes me (Alex) think this is not a serious application. I've seen it claimed[3] that one of the earliest pseudo-random number generators used the logistic map, but I was unable to find a primary reference to this from a quick search. Some random number generators use physical entropy from outside the computer (rather than a pseudo-random mathematical computation). There are some proposals to do this by taking measurements from a physical chaotic system, such as an electronic circuit or lasers. This seems to be backward, and not actually used in practice. The idea is somewhat roasted in the Springer volume "Open Problems in Mathematics and Computational Science" 2014, chapter "True Random Number Generators" by Mario Stipčević and Çetin Kaya Koç. Other sources that caused me to doubt the genuine application of chaos to crypto include this Crypto StackExchange question, and my friend who has done done cryptography research professionally. As a final false positive example, a use of lava lamps as a source of randomness once gained some publicity. Though this was patented under an explicit reference to chaotic systems, it was only used to generate a random seed, which doesn't really make use of the chaotic dynamics. It sounds to me like it's just a novelty, and off-the-shelf crypto libraries would have been just fine. Anesthesia, Fetal Monitoring, and Approximate Entropy- No (Elizabeth) Approximate Entropy (ApEn) is a measurement designed to assess how regular and predictable a system is, a simplification of Kolmogorov-Sinai entropy. ApEn was originally invented for analyzing medical data, such as brain waves under anesthesia or fetal heart rate. It has several descendents, including Sample Entropy; for purposes of this article I'm going to refer to them all as ApEn. Researchers have since applied the hammer of ApEn and its children to many nails, but as far as I (Elizabeth) can tell it has never reached widespread usage. ApEn's original application was real time fetal heart monitoring; however as far as I can tell it never achieved commercial success and modern doctors use simpler algorithms to evaluate fetal monitoring data. ApEn has also been extensively investigated for monitoring brain waves under anesthesia. However commercially avail...
Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Quick look: applications of chaos theory, published by Elizabeth on August 19, 2024 on LessWrong. Introduction Recently we (Elizabeth Van Nostrand and Alex Altair) started a project investigating chaos theory as an example of field formation.[1] The number one question you get when you tell people you are studying the history of chaos theory is "does that matter in any way?".[2] Books and articles will list applications, but the same few seem to come up a lot, and when you dig in, application often means "wrote some papers about it" rather than "achieved commercial success". In this post we checked a few commonly cited applications to see if they pan out. We didn't do deep dives to prove the mathematical dependencies, just sanity checks. Our findings: Big Chaos has a very good PR team, but the hype isn't unmerited either. Most of the commonly touted applications never received wide usage, but chaos was at least instrumental in several important applications that are barely mentioned on wikipedia. And it was as important for weather as you think it is. Applications Cryptography and random number generators- Strong No (Alex) The wikipedia page for Chaos theory has a prominent section on cryptography. This sounds plausible; you certainly want your encryption algorithm to display sensitive dependence on initial conditions in the sense that changing a bit of your input randomizes the bits of your output. Similarly, one could imagine using the sequence of states of a chaotic system as a random number generator. However a quick google search makes me (Alex) think this is not a serious application. I've seen it claimed[3] that one of the earliest pseudo-random number generators used the logistic map, but I was unable to find a primary reference to this from a quick search. Some random number generators use physical entropy from outside the computer (rather than a pseudo-random mathematical computation). There are some proposals to do this by taking measurements from a physical chaotic system, such as an electronic circuit or lasers. This seems to be backward, and not actually used in practice. The idea is somewhat roasted in the Springer volume "Open Problems in Mathematics and Computational Science" 2014, chapter "True Random Number Generators" by Mario Stipčević and Çetin Kaya Koç. Other sources that caused me to doubt the genuine application of chaos to crypto include this Crypto StackExchange question, and my friend who has done done cryptography research professionally. As a final false positive example, a use of lava lamps as a source of randomness once gained some publicity. Though this was patented under an explicit reference to chaotic systems, it was only used to generate a random seed, which doesn't really make use of the chaotic dynamics. It sounds to me like it's just a novelty, and off-the-shelf crypto libraries would have been just fine. Anesthesia, Fetal Monitoring, and Approximate Entropy- No (Elizabeth) Approximate Entropy (ApEn) is a measurement designed to assess how regular and predictable a system is, a simplification of Kolmogorov-Sinai entropy. ApEn was originally invented for analyzing medical data, such as brain waves under anesthesia or fetal heart rate. It has several descendents, including Sample Entropy; for purposes of this article I'm going to refer to them all as ApEn. Researchers have since applied the hammer of ApEn and its children to many nails, but as far as I (Elizabeth) can tell it has never reached widespread usage. ApEn's original application was real time fetal heart monitoring; however as far as I can tell it never achieved commercial success and modern doctors use simpler algorithms to evaluate fetal monitoring data. ApEn has also been extensively investigated for monitoring brain waves under anesthesia. However commercially avail...
Send us a Text Message.The Davos Alzheimer's Collaborative ( DAC - https://www.davosalzheimerscollaborative.org/ ) is a pioneering worldwide initiative to cure Alzheimer's disease and dementia, seeking to mirror the success of global efforts against infectious diseases such as HIV/AIDS, Covid, and Malaria. Absent effective action at scale around the world, by 2050, more than 150 million families and half a billion people will be personally impacted by Alzheimer's, creating a social, financial, economic, and global security disaster of historic proportions. DAC was launched in Davos in 2021 by the World Economic Forum and the Global CEO Initiative on Alzheimer's Disease. Dr. Tim MacLeod is the Director of the Systems Preparedness workstream of the Davos Alzheimer's Collaborative (DAC) where he executes on a mission to facilitate the implementation of national, regional, and global commitments to provide access to future innovations in treatment, diagnosis, and care. Drawing on his background in implementation science and innovation consulting, Dr. MacLeod guides the development, execution, and dissemination of multi-site, real-world implementation studies that generate evidence about the facilitators and barriers to adopting and scaling novel technology in the ADRD space. Before joining DAC, Dr. MacLeod led the award-winning human-centered design studio Bridgeable as Managing Director, where he worked with Fortune 500 companies in the financial service and health spaces on significant innovation initiatives. Dr. MacLeod holds a Ph.D. in community psychology and has published widely on health innovation and implementation science. His research with the Mental Health Commission of Canada's At Home/Chez Soi team scaled the Housing First model from 5 pilot sites to over 20 cities nationally through multi-level policy change. Dr. Vaibhav Narayan is Executive Vice President at the Davos Alzheimer's Collaborative (DAC), which he joined after 13+ years at Johnson & Johnson (J&J) where he was Vice President of Digital Health Innovation and Head of Data Science for Neuroscience R&D. At J&J, Dr. Narayan created and led programs that utilized multi-modal data from ‘genomics to digital' to understand disease subtypes and develop AI/ML driven digital health solutions for prevention, early detection, disease course monitoring and prediction in Alzheimer's and neuropsychiatric diseases. Dr. Narayan also previously served as Head, Discovery Informatics, Eli Lilly and Company, and as Director, Computational Sciences, Celera Genomics. He also currently serves a role as Chief Industry Officer, UK Mental Health Mission, University of Oxford.Dr. Narayan obtained a PhD from Yale University in computational biology and an Executive MBA from Kellogg School of Management, Northwestern University.Important Episode Links The Davos Alzheimer's Collaborative Healthcare System Preparedness(DAC-SP) Early Detection Blueprint - https://www.dacblueprint.org/Alzheimer's Association International Conference 2024 - https://aaic.alz.org/#Alzheimers #Dementia #Davos #Neurology #Neuroscience #HealthyAging #BrainHealth #TimMacLeod #VaibhavNarayan #DavosAlzheimersCollaborative #ProgressPotentialAndPossibilities #IraPastor #Podcast #Podcaster #ViralPodcast #STEM #Innovation #Technology #Science #ResearchSupport the Show.
Talk of the Towns | WERU 89.9 FM Blue Hill, Maine Local News and Public Affairs Archives
Producer/Hosts: Ron Beard and Liz Graves Theme music for Talk of the Towns Theme is a medley from Coronach, on a Balnain House Highland Music recording. Talk of the Towns: Local Community concerns and opportunities This month: – What do you understand the term artificial intelligence (AI) to mean? – How do you understand AI already in use? How do you encounter it? – How have you made use of AI in your work and creative life? – What do you understand about concerns about AI… either addressing current or potential applications? – What are the most useful ways you have encountered to address some of these concerns? – What do you see as the potential of AI – Helping government better serve citizens and communities? – Helping with collaboration and understanding among people? – Helping people and institutions work through conflict? – Helping with learning (at any age)? – What might be some helpful ways of thinking about developing and using AI going forward? – What can we learn from human experience with other technology and scientific advancement as we ride the wave of AI? Guest/s: Gray Cox, professor of philosophy, College of the Atlantic, author of Smarter Planet or Wiser Earth? : Dialogue and Collaboration in the Era of Artificial Intelligence, published by Quaker Institute for the Future, 2023. Nina Barufaldi St. Germain, business owner, writer, artist. Gregg TeHennepe, Senior Director, Computational Sciences, Jackson Laboratory. FMI: barharbor365.substack.com writing with Nina Barufaldi St. Germain. graycoxhomepage.wordpress.com more from Gray Cox. www.jax.org The Jackson Laboratory. About the hosts: Ron Beard is producer and host of Talk of the Towns, which first aired on WERU in 1993 as part of his community building work as an Extension professor with University of Maine Cooperative Extension and Sea Grant. He took all the journalism courses he could fit in while an undergraduate student in wildlife management and served as an intern with Maine Public Television nightly newscast in the early 1970s. Ron is an adjunct faculty member at College of the Atlantic, teaching courses on community development. Ron served on the Bar Harbor Town Council for six years and is currently board chair for the Jesup Memorial Library in Bar Harbor, where he has lived since 1975. Look for him on the Allagash River in June, and whenever he can get away, in the highlands of Scotland where he was fortunate to spend two sabbaticals. Liz Graves joined Talk of the Towns as co-producer and co-host in July 2022, having long admired public affairs programming on WERU and dreamed of getting involved in community radio. She works as the Town Clerk for the Town of Bar Harbor, and is a former editor of the Mount Desert Islander weekly newspaper. Liz grew up in California and came to Maine as a schooner sailor. The post Talk of the Towns 7/10/24: A Conversation About Artificial Intelligence in Our Lives first appeared on WERU 89.9 FM Blue Hill, Maine Local News and Public Affairs Archives.
In this episode I speak to Prof Juan J. Alonso on his vision of the future of computational science as well as his journey from academia to entrepreneurship - founding Luminary Cloud. He reflects on the revolutions in computational science and the different ways of developing software throughout his career. Alonso emphasizes the importance of academia in creating and perpetuating knowledge, as well as the value of innovation and new ideas. He also discusses the changes in the CFD world, the emergence of new technologies like GPU computing and cloud computing, and the potential for advancements in computational simulations for analysis and design. We also touch on the transition of the aerospace industry towards commercial software and the potential for cloud computing to revolutionize CFD. The conversation concludes with a discussion on the progress made towards achieving the goals outlined in the 2030 CFD vision report and the role of machine learning and AI in simulation-driven workflows. In this final part of the conversation, Juan discusses the potential applications of ML and AI in engineering. He identifies four main areas where these technologies can be beneficial, but emphasizes that these applications will always be based on high-fidelity simulations. He concludes by envisioning the future of computational-driven science and the continued innovation in the field.You can check out Luminary Cloud at https://www.luminarycloud.com and Prof Alonso's Stanford research at: https://adl.stanford.edu 06:00 Introduction and Background09:11 Early Interest in Aerospace Engineering12:13 From Academia to Industry15:11 Decision to Stay in Academia17:11 Balancing Fundamental Science and Applied Research22:14 Early Aims and Focus on High Performance Computing29:18 Emergence of GPU Computing and Cloud Computing32:23 Conditions for Innovation and Entrepreneurship35:01 The Importance of the Bay Area35:37 Challenges and Requirements in Developing Solvers41:00 The Role of the Bay Area in Attracting Computational Science Talent44:16 The Difficulty and Respect for Building High-Quality Commercial Software47:03 The Transition of the Aerospace Industry towards Commercial Software49:30 The Potential of Cloud Computing in Revolutionizing CFD53:59 Progress towards the Goals of the 2030 CFD Vision Report01:00:53 The Role of Machine Learning and AI in Simulation-Driven Workflows01:04:01 Applications of ML and AI in Engineering01:05:36 Optimization and Design Optimization with ML and AI01:06:04 Outer Loops and Uncertainty Quantification01:07:04 Digital Twin Frameworks and Constant Retraining01:12:36 The Value of Open-Source Codes in Academia01:16:19 Challenges of Integrating Commercial Tools with Research01:25:20 The Future of Computational-Driven Science01:29:01 Continued Innovation and Replacement of Physical Experimentation
Hola Familia! Welcome back to another exciting episode of SHPE Out Loud, where we amplify the voices of Hispanics in STEM. I'm Alex Wait, the producer of the show, and today marks the 20th episode in our "50 Stories for 50 Years" series. This special installment brings you a dynamic duo: Fernanda Sulantay and Sonia Camacho, two incredible STEM content creators who are as close to SHPE celebrities as you can get. Fernanda, a Chemical Engineer pursuing her Ph.D. in Computational Science at Yale, immigrated to the US from El Salvador and is a resilient mom of two. Sonia, a Digital Accessibility Engineer at Nike, holds both undergraduate and master's degrees in Computer Science from Oregon State and proudly identifies with her Mexican heritage. Their paths to engineering couldn't be more different—one always had a passion for STEM, while the other initially feared becoming a "nerd." Despite their unique journeys, both Fernanda and Sonia have navigated the challenges of being women in male-dominated fields, staying true to themselves while unapologetically pursuing their professional goals. In this inspiring and fun conversation, you'll hear about their personal stories, professional endeavors, and how they manage to bring enthusiasm and flair to their work and the SHPE community. Get ready to be influenced in the best possible way as we listen to Fernanda and Sonia speak out loud. Thank you, Fernanda and Sonia, for sharing your vibrant stories and for being real about your struggles and successes. Your contributions make our SHPE Familia stronger, and you are the role models we all need. If you've missed any previous episodes of the "50 Stories for 50 Years" series, don't worry! You can find them all archived on our website: shpe.org/50-stories. The link is in the description. Learn more about SHPE on our website www.SHPE.org or follow us on our social media platforms listed below. To become a member today, use code POD22 for 10% off. Make sure to subscribe to the podcast wherever you listen so you don't miss any weekly SHPE stories, and check out the SHPE YouTube channel for select interviews you can watch, not just listen! Remember, you belong here and at every level of the STEM industry. ¡Cuídate Familia! 50 Stories Website: shpe.org/50-stories Facebook: https://www.facebook.com/shpenational/ Twitter: https://twitter.com/SHPE Instagram: https://www.instagram.com/shpenational/ LinkedIn: https://www.linkedin.com/company/society-of-hispanic-professional-engineers/ YouTube: https://www.youtube.com/user/SHPENational The SHPE Out Loud Podcast is produced by Epics Productions | Podcasts with Purpose. To learn more about starting a podcast for your organization visit EpicsProductions.com Listen to, and follow The Epics Podcast: EpicsPodcast.com
Dr. Sunnie Joshi is the CEO of Nepal Coffee Company and she holds a Ph.D. in Applied Mathematics and Computational Science. She previously worked as a Data Scientist at the World Bank and an Assistant Professor at Temple University. In this episode she talks about: Embracing her passion for mathematics and its universal applicability in various fields. Academia to Enterprise: Charting a Diverse Career Path Revitalising a longstanding family business Parenthood, Career & Well being: Striking the Balance
Today's guest asserts that the way we encounter reality is a construction. Our thoughts and perceptions are merely interpretations of external and biological cues. We're all hallucinating, all the time. It's just that when we agree on those hallucinations, we call it reality.Feel Better Live More Bitesize is my weekly podcast for your mind, body, and heart. Each week I'll be featuring inspirational stories and practical tips from some of my former guests.Today's clip is from episode 366 of the podcast with globally respected neuroscientist Anil Seth - Professor of Cognitive and Computational Science at the University of Sussex.Anil's theory is that our brains don't read the world, they write them – all of life is a controlled hallucination.In this clip he explains how our brains create our conscious reality.Thanks to our sponsor https://www.drinkag1.com/livemoreSupport the podcast and enjoy Ad-Free episodes. Try FREE for 7 days on Apple Podcasts https://apple.co/feelbetterlivemore. For other podcast platforms go to https://fblm.supercast.com.Show notes and the full podcast are available at drchatterjee.com/366Follow me on instagram.com/drchatterjeeFollow me on facebook.com/DrChatterjeeFollow me on twitter.com/drchatterjeeuk DISCLAIMER: The content in the podcast and on this webpage is not intended to constitute or be a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of your doctor or other qualified health care provider with any questions you may have regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have heard on the podcast or on my website. Hosted on Acast. See acast.com/privacy for more information.
Computational approaches have revolutionized how we interpret data. With the advent of genomic sequencing, scientists can derive significant conclusions from sequence data. For example, through transcriptomics – the study of genes and their expression in different cells – researchers have made groundbreaking discoveries in fields like developmental and disease biology. More recently, computational approaches have expanded with the introduction of generative artificial intelligence (AI) and its ability to generate new insights from massive datasets, diverse in scope, which can be validated in the lab. In this episode, co-host Maria Wilson sits down with John Marioni, Senior Vice President and Head of Computational Sciences, to discuss how computational methods can complement other research techniques to expedite drug discovery, enhance clinical trials, and prevent biases, ensuring the development of medicines that can treat people of diverse backgrounds. Read the full text transcript at www.gene.com/stories/merging-minds-and-machines-the-future-of-drug-discovery
“As software engineers, only a fraction of your time is spent coding. A lot of your time is spent thinking. And I'm not seeing LLMs taking that away from us anytime soon, at least, for now." Can AI help you learn to code? Will AI take your developer job? Join me discussing these topics with Leo Porter and Daniel Zingaro, the co-authors of “Learning AI-Assisted Python Programming”. In this episode, we discuss the impact of AI assistants on how we learn and approach programming, particularly for students and educators. We examine the shifting skillset of developers, emphasizing the importance of code reading, specification, testing, and problem decomposition over syntax and library semantics. We also confront critical questions like the ethical implications of AI, the potential impact on developers' job, and whether it can help lead us to a more equitable society. Listen out for: Career Journey - [00:01:11] AI Assistant - [00:07:55] How AI Assistant Affect Student - [00:11:04] Problem Decomposition Skill - [00:16:46] How LLM Works - [00:19:47] Prompt Engineering - [00:23:36] Automating Tedious Tasks - [00:29:29] AI Ethical Issues - [00:33:30] AI Replacing Developers - [00:40:08] A More Equitable Society - [00:47:34] 3 Tech Lead Wisdom - [00:55:58] _____ Leo Porter's BioLeo Porter is a Teaching Professor in the Computer Science and Engineering Department at UC San Diego. He is best known for his award-winning research on the impact of Peer Instruction in computing courses, the use of clicker data to predict student outcomes, and the development of the Basic Data Structures Concept Inventory. He co-wrote the first book on integrating LLMs into the instruction of programming with Daniel Zingaro, entitled “Learn AI-Assisted Python Programming: With GitHub Copilot and ChatGPT”. He also co-teaches popular Coursera and edX courses with over 500,000 enrolled learners. He is a Distinguished Member of the ACM. Daniel Zingaro's BioDr. Daniel Zingaro is an award-winning Associate Teaching Professor of Mathematical and Computational Sciences at the University of Toronto Mississauga. He is well known for his uniquely interactive approach to teaching and internationally recognized for his expertise in active learning. He is the co-author of “Learn AI-Assisted Python Programming” (Manning Publications, 2023), author of “Algorithmic Thinking” 2/e (No Starch Press, 2024), co-author of “Start Competitive Programming!” (self-published, 2024), and author of Learn to Code by Solving Problems (No Starch Press, 2021). Follow Leo & Daniel: Leo's LinkedIn – linkedin.com/in/leoporter/ Daniel's LinkedIn – linkedin.com/in/danielzingaro _____ Our Sponsors Manning Publications is a premier publisher of technical books on computer and software development topics for both experienced developers and new learners alike. Manning prides itself on being independently owned and operated, and for paving the way for innovative initiatives, such as early access book content and protection-free PDF formats that are now industry standard.Get a 45% discount for Tech Lead Journal listeners by using the code techlead45 for all products in all formats. Like this episode? Show notes & transcript: techleadjournal.dev/episodes/165. Follow @techleadjournal on LinkedIn, Twitter, and Instagram. Buy me a coffee or become a patron.
Az ELTE Research Center for Computational Science kutatócsoportja "A depresszió diszkurzív keretezése online fórumok közösségében" című projektjében azt vizsgálja, hogy miként jelenik meg a depresszió az online közösségekben. Sik Domonkos, a kutatócsoport tagja mesél a kutatásoról és azokról az eredményekről, amelyek segítenek megérteni a depresszió megjelenési formáit az online fórumokon. Nem csak terepauták, de az érintettek szemszögéből is. Műsorvezető: Dudok Dávid.
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meIn this episode, Dmitry Bagaev discusses his work in Bayesian statistics and the development of RxInfer.jl, a reactive message passing toolbox for Bayesian inference. Dmitry explains the concept of reactive message passing and its applications in real-time signal processing and autonomous systems. He discusses the challenges and benefits of using RxInfer.jl, including its scalability and efficiency in large probabilistic models. Dmitry also shares insights into the trade-offs involved in Bayesian inference architecture and the role of variational inference in RxInfer.jl. Additionally, he discusses his startup Lazy Dynamics and its goal of commercializing research in Bayesian inference. Finally, we also discuss the user-friendliness and trade-offs of different inference methods, the future developments of RxInfer, and the future of automated Bayesian inference. Coming from a very small town in Russia called Nizhnekamsk, Dmitry currently lives in the Netherlands, where he did his PhD. Before that, he graduated from the Computational Science and Modeling department of Moscow State University. Beyond that, Dmitry is also a drummer (you'll see his cool drums if you're watching on YouTube), and an adept of extreme sports, like skydiving, wakeboarding and skiing!Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ !Thank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov, Michael Thomas, Luke Gorrie, Cory Kiser and Julio.Visit
Bronwyn Williams & Adriana Marais | The Small Print In this episode, Bronwyn speaks to theoretical physicist Dr. Adriana Marais. They discuss her plans to launch Africa's inaugural mission to the moon, how exploring uncharted territories breeds new ways of thinking and technological innovation, the phenomenon of resource extraction in space, the idea of colonizing Mars, and how space exploration can provide us with a sense of wonder and much-needed perspective. Bronwyn Williams is a futurist, economist, trend analyst and host of The Small Print. Her day job as a partner at Flux Trends involves helping business leaders to use foresight to design the future they want to live and work in. You may have seen her talking about Transhumanism or Tikok on Carte Blanche, or heard her talking about trends on 702 or CNBC Africa where she is a regular expert commentator. When she's not talking to brands and businesses about the future, you will probably find her curled up somewhere with a (preferably paperback) book. She tweets at @bronwynwilliams. Twitter Flux Trends Website Dr. Adriana Marais has a background in theoretical physics, with her Ph.D. and postdoctoral research focusing on quantum effects in biology and the origins of the building blocks of life in space. Currently, Adriana is a researcher at the University of Stellenbosch and the National Institute for Theoretical and Computational Sciences. She is also a faculty member at Singularity University. Additionally, Adriana serves as a director at the Foundation for Space Development Africa, where she is actively involved in preparing Africa's inaugural mission to the Moon—the Africa2Moon Project. Website Twitter LinkedIn YouTube Subscribe to our Substack. Follow us on Social Media: YouTube LinkedIn Facebook Twitter Instagram Subscribe to the Discourse ZA Podcast: iTunes Stitcher Spotify RSS feed
Why would we want to discuss brutalism and mid-century modern architecture with an architect and two engineers? Because we believe in learning about approaching art and design from a variety of perspectives and backgrounds. Brutalism seemed like a perfect fit for us to bring in experts and find where connections could be found and also how we see art differently. Our hope is that listeners will be inspired to step outside their comfort zones and start having discussions of their own with people with different perspectives and expertise. We all walked away from our discussion with broader understandings of brutalism, and hopefully, you will too. In this episode, we are joined by Dr. Becky Bloom, Assistant Director of Curatorial Affairs at SUMA, Dr. Matthew Roberts SUU Associate Dean of the College of Engineering and Computational Sciences, Mark Harris Structural Engineer and Senior Principal with Reaveley Engineers, and Chad Neilson CEO, Design Principal, MHTN Architects.
When it comes to music education, we often find ourselves immersed in the melodies, harmonies, and rhythms of our favorite songs. But have you ever thought about the art of asking questions in the music classroom? It's a topic rarely discussed, yet it plays a profound role in shaping the musical journey of students. Join us on a captivating exploration of Dr. Philip Tacka's innovative strategies that illuminate the path to a deeper understanding of music. Philip Tacka received his doctorate from The Catholic University of America and completed a year of postdoctoral work at the Franz Liszt Academy, Budapest/Zoltan Kodály Pedagogical Institute in Hungary. He is a Professor of Music in The Tell School of Music at Millersville University of Pennsylvania. His research interests center on the all aspects of music education though he has a particular emphasis on music perception and cognition. He writes in collaboration with Dr. Micheál Houlahan, chair of The Tell School of Music. Their publications include Kodály Today and the accompanying seven volumes in the Oxford University Press series. Two new volumes, Choral Artistry: A Kodály Perspective for Middle School to College Level Choirs and Choral Sight Reading are scheduled to be published in 2023 by Oxford. A more complete listing of publications is included below. He has been involved in Kodály Teacher Training programs every year since the early 1980s and has written and provided professional development for four United States Department of Education grants awarded to both the Austin and Houston, Texas Independent School Districts. Dr. Tacka has also served on editorial boards and served as a grant evaluator for more than a decade on the American Fellowship Panel for the American Association of University Women. Prior to his current position, he was an Associate Professor of Music in the Department of Art, Music & Theatre at Georgetown University, Washington, D.C. and worked with the Georgetown University Medical School's Institute for Cognitive and Computational Science in the neuropsychology of music perception. He regularly presents papers and workshops both nationally and internationally on aspects of music education, music perception and cognition, and Kodály studies and has lectured in Italy, Denmark, Finland, Hungary, Estonia, the Netherlands, and England. In March, 2016 he was awarded the Organization of American Kodály Educators (OAKE) Lifetime Achievement Award and in 2017 received a distinguished alum award from the Hungarian government. Connect with Dr. Tacka at: Website: Sound Thinking Interactive FB and Tiktok: @soundthinkinginteractive Facebook Group: Houlahan & Tacka & Kodály Studies ___________________________________________________ Read the full blog post: How to Ask Questions in the Music Classroom Enroll in the Sound Thinking Interactive Subscription Grab your free Simplifying Lesson Planning guide. Sign up for teacher coaching or business coaching with Jessica. Find out more about the Curriculum Design Roadmap course here. Get your copy of Make A Note: What You Really Need to Know About Teaching Elementary Music --- Send in a voice message: https://podcasters.spotify.com/pod/show/thedomesticmusician/message
Joining us this week is Dr. David Bader, a Distinguished Professor and founder of the Department of Data Science in the Ying Wu College of Computing and Director of the Institute for Data Science at New Jersey Institute of Technology. He deep dives into the opportunity to democratize data science tools and the awesome free tool he and Mike Merrill spent the last several years building that can be found on the Bears-R-Us GitHub page open to the public. We also discuss the vulnerabilities in open-source supply chain, what about AI security teams should be concerned about, data poisoning, AI that is fair and equitable and the discussion on regulation and self-regulation in AI. Key takeaway from the conversation -- data science is indeed growing and it holds an exciting future for those that pursue it! David A. Bader is a Distinguished Professor and founder of the Department of Data Science in the Ying Wu College of Computing and Director of the Institute for Data Science at New Jersey Institute of Technology. Prior to this, he served as founding Professor and Chair of the School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology. He is a Fellow of the IEEE, ACM, AAAS, and SIAM; a recipient of the IEEE Sidney Fernbach Award; and the 2022 Innovation Hall of Fame inductee of the University of Maryland's A. James School of Engineering. For links and resources discussed in this episode, please visit our show notes at https://www.forcepoint.com/govpodcast/e251
Ariela Safira is the Founder + CEO of Real, a mental health care company building a new therapy model. Ariela has been passionate about improving mental healthcare for years. Starting her career at IDEO, she studied, researched and developed new concepts to approach mental healthcare and mental wellbeing. Ariela earned a BS in Mathematics and Computational Science from Stanford University, where the impetus for her work began. Later, she joined Columbia's Clinical Psychology program to train as a therapist and left the program in 2019 to launch Real. She's biked across multiple countries to fundraise for suicide prevention, is the recipient of the 2019 American Psychiatric Association's Innovation Award, and was recognized as Forbes 30 Under 30 Social Impact.
Felix J. Herrmann highlights the July 2023 special section in The Leading Edge - digitalization in energy. In this episode with host Andrew Geary, Felix discusses his open-access article, "Learned multiphysics inversion with differentiable programming and machine learning." He shares why the future of the oil and gas industry depends on the democratization of technology design. He provides insights into why modernizing wave-equation inversion frameworks is important to geophysics and shares the implications for the results of his study. This episode provides a glimpse into the future capabilities of machine learning to help provide the path for the next great discoveries in geophysics. Listen to the full archive at https://seg.org/podcast. SPONSOR This episode is sponsored by Katalyst Data Management®. Katalyst Data Management® provides the only integrated, end-to-end subsurface data management solution for the oil and gas industry. Over 215 employees operate in North America, Europe, Asia-Pacific, and South America, dedicated to enabling digital transformation and optimizing the value of geotechnical information for exploration, production, and M&A activity. Learn more at http://www.katalystdm.com/. BIOGRAPHY Felix J. Herrmann graduated from Delft University of Technology in 1992 and received his Ph.D. in engineering physics from that same institution in 1997. After research positions at Stanford University and the Massachusetts Institute of Technology, he returned in 2002 as faculty at the University of British Columbia. In 2017, he joined the Georgia Institute of Technology, now a Georgia Research Alliance Scholar Chair in Energy. He was cross-appointed between the Schools of Earth & Atmospheric Sciences, Computational Science & Engineering, and Electrical & Computer Engineering. His cross-disciplinary research program spans several areas of computational imaging, including seismic and, more recently, medical imaging. Dr. Herrmann is widely known for tackling challenging problems in the imaging sciences by adapting techniques from randomized linear algebra, PDE-constrained and convex optimization, high-performance computing, machine learning, and uncertainty quantification. Over his career, he has been responsible for several cost-saving innovations in industrial time-lapse seismic data acquisition and wave-equation-based imaging. RELATED LINKS * Join Software Underground - The place for scientists and engineers that love rocks and computers. (https://softwareunderground.org/) * Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, and Felix J. Herrmann, (2023), "Learned multiphysics inversion with differentiable programming and machine learning," The Leading Edge 42: 474–486. (https://doi.org/10.1190/tle42070474.1 - open access) * Vladimir Kazei and Mita Sengupta, (2023), "Introduction to this special section: Digitalization in energy," The Leading Edge 42: 456–456. (https://doi.org/10.1190/tle42070456.1) * Read the July 2023 special section: Digitalization in energy. (https://library.seg.org/toc/leedff/42/7) Subscribers can read the full articles at https://library.seg.org/; abstracts are always free. CREDITS Seismic Soundoff explores the depth and usefulness of geophysics for the scientific community and the public. If you want to be the first to know about the next episode, please follow or subscribe to the podcast wherever you listen to podcasts. Two of our favorites are Apple Podcasts and"Spotify. If you have episode ideas, feedback for the show, or want to sponsor a future episode, find the "Contact Seismic Soundoff" box at https://seg.org/podcast. Zach Bridges created original music for this show. Andrew Geary hosted, edited, and produced this episode at TreasureMint. The SEG podcast team is Jennifer Cobb, Kathy Gamble, and Ally McGinnis.
In this episode of the podcast, Jason van der Merwe, Director of Engineering and Growth at Strava, provides some practical tips and lessons on performing negative experiments. Jason shares how Strava use negative experiments to remove elements of the user experience to measure impacts on customer behaviour. Negative experiments are a great way to dispel organisational assumptions, identify new value creating opportunities and amplify customer experiences.---Jason van der Merwe is the Director of Engineering, Growth at Strava. Strava is the popular exercise tracking and social networking service, with more than 110 million users and 8 billion activities uploaded.With a background in iOS development, he manages multiple engineering teams at Strava. Jason is responsible for the Growth, Insights and Optimisation teams, ensuring operational efficiency and cross-functional collaboration across Strava teams.Undertaking studies in Computer Science Engineering at Stanford University, Jason majored in Artificial Intelligence and Machine Learning, with sub-major studies in Mathematics and Computational Sciences.----Want more? Head to the First Principles website for the episode transcript, resources and reading lists - https://www.firstprinciples.ventures/ep015-strava-how-to-use-negative-experiments-to-create-more-customer-valueAdd Beat The Odds newsletter to your inbox for practical tips from world-leading experts in Experimentation & Product Design. https://www.firstprinciples.ventures/newsletterFollow Gavin on Twitter @signalnotnoiseFollow Gavin on LinkedIn at : https://www.linkedin.com/in/gavinbryant/
What does consciousness mean to you? It's something that's fundamental to who we are as humans. And yet it's a concept that many of us would struggle to define – scientists and philosophers included. But today's guest is someone who has spent many years and countless hours studying it, and is keen to share what he has learned. Anil Seth is Professor of Cognitive and Computational Science at the University of Sussex and Co-director of the Sackler Centre for Consciousness Science. He is a globally respected neuroscientist and author of the Sunday Times bestseller Being You: A New Science Of Consciousness. And he is someone who excels at making complex ideas simple as evidenced by the fact that his TED talk has been viewed over 12 million times to date. After 20 years researching the brain, Anil's ideas on perception, reality, and what it means to be you, will have you reconsidering everything you've taken for granted about your experience of the world. And if that sounds scary, it really isn't. You don't need any prior knowledge of neuroscience, philosophy, or spirituality to enjoy this episode – but it will leave you feeling enlightened in all three areas. During this conversation we consider death, ritual and the cultural idea of reincarnation. We talk about Near Death Experiences and what we can potentially learn from them and we dive into what consciousness and the self really mean. Anil also sets out his theory that our brains don't read the world, they write them – all of life is a controlled hallucination. The way we encounter reality, he asserts, is a construction. Our thoughts and perceptions are merely interpretations of external and biological cues. We're all hallucinating, all the time. It's just that when we agree on those hallucinations, we call it reality. Anil's work is fascinating and I'm convinced it could pave the way for a humanity that's more connected, considerate, and humble. This is a conversation that I think will have you reflecting and thinking deeply about the world and your place within it. I hope you enjoy listening.Support the podcast and enjoy Ad-Free episodes. Try FREE for 7 days on Apple Podcasts https://apple.co/feelbetterlivemore. For other podcast platforms go to https://fblm.supercast.com.Thanks to our sponsors:https://www.vivobarefoot.com/livemorehttps://www.athleticgreens.com/livemoreShow notes https://drchatterjee.com/366DISCLAIMER: The content in the podcast and on this webpage is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of your doctor or qualified healthcare provider. Never disregard professional medical advice or delay in seeking it because of something you have heard on the podcast or on my website. Hosted on Acast. See acast.com/privacy for more information.
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Bandgaps, Brains, and Bioweapons: The limitations of computational science and what it means for AGI, published by titotal on May 26, 2023 on The Effective Altruism Forum. [In this post I discuss some of my field of expertise in computational physics. Although I do my best to make it layman friendly, I can't guarantee as such. In later parts I speculate about other fields such as brain simulation and bioweapons, note that I am not an expert in these subjects.] In a previous post, I argued that a superintelligence that only saw three frames of a webcam would not be able to deduce all the laws of physics, specifically general relativity and Newtonian gravity. But this specific scenario would only apply to certain forms of boxed AI. Any AI that can read the internet has a very easy way to deduce general relativity and all our other known laws of physics: look it up on wikipedia. All of the fundamental laws of physics relevant to day to day life are on there. An AGI will probably need additional experiments to deduce a fundamental theory of everything, but you don't need that to take over the world. The AI in this case will know all the laws of physics that are practically useful. Does this mean that an AGI can figure out anything? There is a world of difference between knowing the laws of physics, and actually using the laws of physics in a practical manner. The problem is one that talk of “solomonoff induction” sweeps under the rug: Computational time is finite. And not just that. Compared to some of the algorithms we'd like to pull off, computational time is miniscule. Efficiency or death The concept of computational efficiency is at the core of computer science. The running of computers costs time and money. If we are faced with a problem, we want an algorithm to find the right answer. But just as important is figuring out how to find the right answer in the least amount of time. If your challenge is “calculate pi”, getting the exact “right answer” is impossible, because there are an infinite number of digits. At this point, we are instead trying to find the most accurate answer we can get for a given amount of computational resources. This is also applicable to NP-hard problems. Finding the exact answer to the travelling salesman problem for large networks is impossible within practical resource limits (assuming P not equal NP). What is possible is finding a pretty good answer. There's no efficient algorithm for getting the exact right route, but there is one for guaranteeing you are within 50% of the right answer. When discussing AI capabilities, the computational resources available to the AI are finite and bounded. Balancing accuracy with computational cost will be fundamental to a successful AI system. Imagine an AI that, when asked a simple question, starts calculating an exact solution that would take a decade to finish. We're gonna toss this AI in favor of one that gives a pretty good answer in practical time. This principle goes double for secret takeover plots. If computer model A spends half it's computational resources modelling proteins, while computer model B doesn't, computer model A is getting deleted. Worse, the engineers might start digging in to why model A is so slow, and get tipped off to the plot. All this is just to say: computational cost matters. A lot. A taste of computational physics In this section, I want to give you a taste of what it actually means to do computational physics. I will include some equations for demonstration, but you do not need to know much math to follow along. The subject will be a very highly studied problem in my field called the “band gap problem”. “band gap” is one of the most important material properties in semiconductor physics. It describes whether there is a slice of possible energy values that are forbidden ...
Barr Moses is a consultant turned CEO & Co-Founder of Monte Carlo, a data reliability company. She started her career as a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford University. Later, she became VP of Customer Operations at customer success company Gainsight, where she built the data and analytics team. She also served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science. Today, we'll talk about Barr's career journey, data reliability and observability, and what it means for data teams. If you enjoy the show, subscribe to the channel and leave a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science. Barr's LinkedIn: https://www.linkedin.com/in/barrmoses/ Daliana's Twitter: https://twitter.com/DalianaLiu Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu (00:00:00) Introduction (00:01:24) How did she got into data science (00:08:26) Frameworks for data-driven decisions (00:11:20) Is customer support ticket always bad? (00:15:20) How to quickly find out what is true (00:20:17) Struggles in the data team (00:23:37) Daliana's story about lineage (00:28:00) People stressed about data (00:28:09) Netflix was down because of wrong data (00:30:40) Common issues with data quality (00:33:14) 5 pillars of data observability (00:39:14) How does Monte Carlo help data scientists (00:43:08) Build in-house vs adopt tools (00:45:48) How Daliana fixed a data quality issue (01:02:44) How to measure the impact of the data team (01:09:09) Mistakes she made (01:15:28) Beat the odds
MDJ Script/ Top Stories of May 4 Thursday Publish Date: May 4 Thursday From the Henssler Financial Studio, Welcome to the Marietta Daily Journal Podcast Today Wednesday, May 4th, and as Star Wars nation would say...may the 4th be with you ***Star Wars theme*** I'm Dan Radcliffe and here are your top stories presented by Credit Union of Georgia Man accused of child abuse blamed spirit possession for infant's injuries KSU sets graduation schedule And despite morning raindrops, the Taste of Marietta event drew big crowds again this year And the soon to open new family justice center in Cobb gets it's name We'll have all this and more on the Marietta Daily Journal Podcast. Commercial CU of Georgia STORY 1 Child Abuse *** Mellow BED*** Juan Francisco Lobo Hernandez, 28, was arrested and charged with child abuse and aggravated battery for allegedly causing multiple skull fractures to an infant on April 20. He was identified as the last caretaker of the baby before symptoms of blunt force trauma appeared. When interviewed by police, Hernandez said he believed the infant was possessed by spirits and that he may have been too. The baby was transported to Children's Healthcare of Atlanta where her parents were unable to provide a reason for her skull fractures and internal bleeding. Hernandez was in jail for three days before making bond.. STORY 2: KSU Commencement ***Audio Sharp Dressed Man*** Kennesaw State University will hold eight commencement ceremonies from May 9-12 to recognize its almost 4,000 graduates this spring. The graduating class includes 664 first-generation college graduates and 60 military veterans, and the age range is from 19 to 81. The ceremonies will be held at the Convocation Center on the Kennesaw campus and will award undergraduate, graduate and doctoral degrees. KSU alumna Georgia McGaughey, Vice President of Data and Computational Sciences at Vertex Pharmaceuticals, will speak during one of the ceremonies on May 9. The university will award degrees to students from various colleges, including the College of Science and Mathematics, College of Computing and Software Engineering, and Bagwell College of Education. Top of Form Story 3: Taste The annual Taste of Marietta festival took place on Sunday, bringing an estimated 24,000 people to the Marietta Square in Georgia. More than 50 food vendors sold a range of treats from ice cream to cocktails, while music performances and activities were also on offer. Attendees shared their favorite festival items, with Chicago-style hotdogs and ice cream being popular choices. Created by the Marietta Visitors Bureau in 1993, the festival takes place on the last Sunday in April every year and has grown in size over the years. Story 4: Mt Paran ***Au*** ***Instrumental BED** Mount Paran Christian School organized "Family Serve Day" where students and their families worked to serve their community. One of the events was hosted by local real estate owner Janice Overbeck who has been hosting the event with the school for several years. This year, families upcycled plastic bags into dog leashes for Cobb County Police. The leashes were picked up by Lt. Col. Michael L. Williams who showed his gratitude to the families that made them. The Janice Overbeck Real Estate Team is working towards limiting plastic usage and finding sustainable options for items typically made from petroleum-based plastics. STORY 5:Zoning The Cobb Planning Commission in Marietta, Georgia, has delayed a decision on whether to authorize a proposed subdivision on Post Oak Tritt Road in east Cobb. The developer, Kenneth Clary, submitted a rezoning request for just over 13 acres in July and has reduced the number of proposed homes from 20 to 18. Opponents of the development have raised concerns that a historic log cabin and gravesite on the property could be disturbed. While the attorney representing Clary denies that there is a cemetery on the site, members of the Cobb Cemetery Preservation Commission insist that there is. Top of Form Commercial Dayco Systems Commercial ESOG Block Wall STORY 6: Pope Pope beat Woodstock 5-2 in the third game of their second-round Class AAAAAA state playoff series. The 2022 Class AAAAAA state champion Greyhounds (27-9) scored five runs over the fifth and sixth innings. John Steutzer stole home and ended with a key bases-clearing double. Woodstock (23-11), last year's Class AAAAAAA champion, cut the lead to one in their trip to the plate. Pope advanced to the state quarterfinals and will host Tift County, with the series scheduled to begin with a doubleheader Friday. STORY 7 McKinnon ***BED*** The Kansas City Chiefs have re-signed running back Jerick McKinnon, who combined for 10 touchdowns in the regular season last year, earning AFC Offensive Player of the Month honors for December. McKinnon, a Sprayberry alum, split backfield duties with rookie Isiah Pacheco. The terms of the deal were not immediately disclosed. The Chiefs' general manager, Brett Veach, expressed his excitement about the team's depth at the running-back spot, with Pacheco, McKinnon, and Clyde Edwards-Helaire returning while also adding undrafted free agent Deneric Prince. Ingles intro. Ingles Leah Top of Form Top of Form Commercial DrakeTop of Form Commercial We care Thanks again for listening to today's Marietta Daily Journal podcast. Did you know over 50% of Americans listen to podcasts weekly? Make sure you join us for our next episode and be sure to share this podcast on social media with your friends and family. Add us to your Alexa Flash Briefing or your Google Home Briefing and be sure to like, follow, and subscribe wherever you get your podcasts. See omnystudio.com/listener for privacy information.
This episode features Jim Rogers. With a background at NASA, NOAA, U.S. Air Force and the Defense Intelligence Agency we welcome the computing and facilities director for the National Center for Computational Science at Oak Ridge National Laboratory to discuss the ever-expanding world of exascale super computers.
Overview Barr Moses, Co-Founder and CEO of Monte Carlo, joins on the podcast. Prior to founding Monte Carlo, Barr was the VP of customer success operations at Gainsight and holds a bachelors of science in mathematics and computer science from Stanford. In today's episode Barr shares her inspiration for founding Monte Carlo, the cost and harms of poor quality data, the five principles of data observability, and her top predictions for data trends in 2023. About Barr Moses Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company and creator of the data observability category, backed by Accel, GGV, Redpoint, ICONIQ Growth, Salesforce Ventures, IVP, and other top Silicon Valley investors. Previously, she was VP Customer Operations at customer success company Gainsight, where she helped scale the company 10x in revenue and, among other functions, built the data/analytics team. Prior to that, she was a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford University. She also served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science. Social Handles LinkedIn Barr's Twitter Monte Carlo's Twitter Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://anchor.fm/women-in-data/support
In this episode you will learn:Why James became a VC despite having an opinion that it was a bad idea?How does Creative Ventures evaluate startups and why do they study the market they invest in deeply before looking at tech solutions for it?Why James doesn't invest in startups with R&D risk and also talk about the strict protocols they have in place to make investments?Why startups who don't share information about their tech or product is a sign of a really bad one?Does investing in more diverse founders outside of the elite networks that get most of the venture potentially offer better venture returns?What challenges are faced by healthcare startups in aligning the different stakeholders to ensure a successful GTM strategy?How even the end of the Ukraine war is not going to end the global food shortage and the challenges faced in agriculture to improve productivityAboutJames Wang is a General Partner at Creative Ventures, an early-stage VC focusing on healthcare, agriculture, and industrial technologies, and a co-founder of Lioness Health. Previously, he was on the core investment team at Bridgewater Associates, founded a non-profit consulting firm specializing in microfinance, and did a stint at Google X's Makani project.James holds an MBA from UC Berkeley where he was a Jack Larson Fellow in Entrepreneurship, a BA with Honors from Dartmouth, and an MS in Computer Science at Georgia Tech. He also holds a Data Science Specialization from the John Hopkins Bloomberg School of Public Health and completed the course track for a Ph.D. Designated Emphasis in Computational Sciences and Engineering at UC Berkeley.
Professor Dimitris Drikakis (Vice President for Global Partnerships, Executive Director for Research and Innovation at the University of Nicosia, Cyprus, Defence and Security Research Institute President) discusses how Artificial Intelligence (AI): and Computational Science become predictive technologies, impacts on innovation, accelerates the energy sector, calls for re-approaching the value and purpose of the human mind. Professor Drikakis received twice the William Penney Fellowship Award by the UK's AWE Plc (Atomic Weapons Establishment Government ministry) in recognition of his contributions to compressible fluid dynamics and computational science and the Innovator of the Year Award (2014) by the UK's Innovation Institute for a new generation Carbon Capture Nanotechnology with a major to reducing atmospheric pollution. The US Air Force (USAF) and the Air Force Office of Scientific Research have recently granted Professor Drikakis a new award for high-speed flows and acoustics advanced computational methods in Machine Learning (ML). Music: "Fortitude" by Humans Win Source: Storyblocks --- Send in a voice message: https://podcasters.spotify.com/pod/show/panagiota-pimenidou/message
At the beginning of 2020, while a pandemic of epic proportions shut down most of the world, the life sciences industry was kicked into high gear, pushing to do what had never been done before – create a vaccine in less than four years. Thankfully, modern day computational science lended a hand, making the previously impossible, possible. In this episode, we speak to someone on the front lines of vaccine and drug development – Steve Mehrman of Johnson & Johnson, who harnesses computational power on a daily basis to elevate one of the most important aspects of our lives – human health.
Professor Dan Rockmore, Director of the Neukom Institute for Computational Science at Dartmouth College joins the podcast to discuss the AI education maturity curve, the role of the academy vs. industry when it comes to artificial intelligence, and the economic reality when industry is willing to pay our AI faculty far more than we can.
In this podcast, we explore how energy giant Shell is using Web3 and blockchain technology. In particular, we explore a use case in which blockchain is used to verify sustainable aviation fuel. Today, I'll be joined by Dan Jeavons, VP Computational Science and Digital Innovation, Shell and, Sabine Brink, Blockchain Lead, Shell.
Gilbert Strang has made many contributions to mathematics education, including publishing seven mathematics textbooks and one monograph. Strang is the MathWorks Professor of Mathematics at the Massachusetts Institute of Technology. He teaches Introduction to Linear Algebra and Computational Science and Engineering and his lectures are freely available through Massachusetts Institute of Technology OpenCourseWare. Professor Strang is well-known for his unique and somewhat offbeat presentation style that many find to be both entertaining and highly informative. B. Ph. Professor of Mathematics, Massachusetts Institute of Technology (since 1962) Honorary Fellow, Balliol College, Oxford President, Society for Industrial and Applied Mathematics (1999, 2000) Chair, United States. National Committee on Mathematics (2003–2004) Chair, National Science Foundation (National Science Foundation) Advisory Panel on Mathematics Board Member, International Council for Industrial and Applied Mathematics (ICIAM) Abel Prize Committee (2003–2005). —————————————————————————————
Chad Einhhorn (He/Him/His) proves that "the only normal people you know are the ones you don't know very well".Chad grew up in suburban Ohio and reflects on being a nerd through high school and college, as he went to Ohio State University for a degree in Mechanical Engineering and Computational Science. He works in the manufacturing industry implementing timing and efficiency software tools to optimize factory flow. In his free time, Chad finds delight in a small book club he organizes to read great fiction. He also loves to cook and share great food with the people in his life. We hope you enjoy getting to know Chad as much as we did!Mentioned in the episode: Geoff Hall on Know Normal People Podcast The Starless Sea by Erin Morgenstern Caraval by Stephanie Garber Hitchhikers Guide to the Galaxy by Douglas Adams The Devil in the White City by Erik Larson Kissing the Witch by Emma Donoghue Stories of Your Life and Others by Ted Chiang Murder on the Orient Express by Agatha Christie The Boy With Fire by Aparna Verma Dune by Frank Herbert Klara in the Sun by Kazuo Ishiguro The Secret to Superhuman Strength by Alison Bechdel The Witness Into the Breach Outer Wilds Sula by Toni Morrison Exhalation by Ted Chiang The Anthropocene Reviewed by John Green The Anthropocene Reviewed Podcast Jade City by Fonda Lee Where Should We Begin? with Esther Perel Podcast Pricing Nature Podcast Flipcoin Oldsoul Follow the Hennings on Twitter: Stephen: @stephenghenning Dixie: @dixieleehenning You can also connect with Know Normal People on Twitter and Instagram at @knowpeoplepod and leave us a 5-star rating and a 1-2 sentence review on Apple Podcasts and Spotify!Know Normal People is a proud founding member of the Highline Media Network, a collective of artist owned podcasts by normal people in normal places. Learn more at www.highline.network.
Today's episode is part of our new sponsored series called “AI is Here,” where we will speak with AI experts across industries and ask them where AI is impacting their industry today and what that means for the future. In this first episode, we're exploring the energy sector by speaking to an AI expert at one of the world's largest energy firms: Shell. Today's guest is Dan Jeavons, VP of Computational Science, Digital Innovation, and IT. In this episode, Dan speaks about leveraging AI to simulate the operations of an energy firm to achieve better business and sustainability outcomes. He also paints a picture of the world we're headed into, one with a more distributed energy ecosystem where the environment is an even more important consideration for energy firms. This special episode is brought to you by SambaNova Systems. SambaNova believes that AI is here, and we've partnered with them to bring you AI trends and impacts affecting different industries today in this new Wednesday series. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.
Yunyue Elita Li discusses her upcoming South & East Asia Honorary Lecture, "Listening to Singapore: Harvesting urban noise for space, water, and hazard mitigation." Today, more than half of the world's population lives in urban areas with a projected growth of over two-thirds in 2050. The city-state of Singapore faces the challenges of supporting a sustainable urban system with a growing population in a limited land, sea, and air space. The only direction to develop is toward the subsurface. In this conversation with host Andrew Geary, Elita shares how she designed novel signal processing techniques that turn urban hum into rich information about the urban system, both above and below the surface. She also highlights newly-developed fiber sensing technology using existing dark fiber infrastructure that has the potential to enable a million-sensor system underneath each major city around the globe. Elita also outlines what public officials, citizens, and engineers should understand about geophysics to support sustainable practices and growth in urban environments. This episode is full of communication tips and scientific insights to improve life in our cities. RELATED LINKS * Register for Elita's course for free (20 April 2022) (https://www.knowledgette.com/p/listening-to-singapore-harvesting-urban-noise-for-space-water-and-hazard-mitigation) * Learn about the Sustainability Geophysics Project (http://sgpnus.org/) * Watch Elita's tutorials on YouTube (https://www.youtube.com/channel/UC0-95XLac_hQmvR5yMDJO6A) or Bilibili (https://space.bilibili.com/590514476) * Discover SEG on Demand (https://seg.org/Education/SEG-on-Demand) * Listen to the full archive of the SEG podcast (https://seg.org/podcast) BIOGRAPHY Dr. Yunyue Elita Li recently joined the Department of Earth, Atmospheric, and Planetary Science at Purdue University as a Mary J. Elmore New Frontiers Associate Professor in Data Science in August 2021. Before that, she worked in the Department of Civil and Environmental Engineering at the National University of Singapore as an assistant professor in 2016. Elita did her postdoctoral research at the Massachusetts Institute of Technology, holding a joint position in the Earth Resources Laboratory and the Department of Mathematics. She received her Ph.D. and M.S. degrees in geophysics from Stanford University in 2014 and 2010, respectively. She obtained her B.S. degree in Information and Computational Science from China University of Petroleum, Beijing in 2008. Elita's research group works on geophysical applications in urban environments for smart cities and sustainable developments. By integrating geophysical inversion techniques, ambient noise data analysis, and distributed sensor networks, her group focuses its research efforts on the development of non-invasive, high-resolution, and real-time systems to solve pressing challenges in space, water, security, and sustainability. Elita was the recipient of the J. Clarence Karcher Award from SEG in 2018 and was nominated as the SEG South & East Asia Honorary Lecturer for 2022. CREDITS SEG produces Seismic Soundoff to benefit its members, the scientific community, and inform the public on the value of geophysics. To show your support for the show, please leave a 5-star rating on Apple Podcasts and Spotify. It takes less than five seconds to leave a 5-star rating and is the number one action you can take to show your appreciation for this free resource. You can follow the podcast to hear the latest episodes on Apple Podcasts, Google Podcasts, and Spotify. Original music created by Zach Bridges. This episode was hosted, edited, and produced by Andrew Geary at 51 features, LLC. Thank you to the SEG podcast team: Jennifer Cobb, Kathy Gamble, and Ally McGinnis.
Special guest Dr. Jeff Nichols oversees DOE's National Center for Computational Sciences, and a key figure in the installation of breakthrough supercomputers such as Titan, Summit, and now Frontier. We discuss the past and future of supercomputing as we get a behind-the-scenes glimpse of Frontier, the $600 million 30 MW supercomputer at ORNL, comprised of 50-60 million parts in 100+ cabinets and slated to be the first exascale computer in the US. [audio mp3="http://orionx.net/wp-content/uploads/2022/04/019@HPCpodcas_Oak-Ridge-Jeff-Nichols_20220404.mp3"][/audio] The post @HPCpodcast-19: ORNL’s Jeff Nichols on Frontier Exascale, Past, Future appeared first on OrionX.net.
We may see new "graph" processors in the future that can better handle the data-centric computations in data science. Will that be enough?About DavidDavid A. Bader is a Distinguished Professor in the Department of Computer Science and founder of the Department of Data Science and inaugural Director of the Institute for Data Science at New Jersey Institute of Technology. Prior to this, he served as founding Professor and Chair of the School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology.____________________________GuestDavid BaderDistinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology [@NJIT]On Twitter | https://twitter.com/Prof_DavidBaderOn LinkedIn | https://www.linkedin.com/in/dbader13/On Facebook | https://www.facebook.com/ProfDavidBaderWebsite: https://davidbader.net/____________________________This Episode's SponsorsImperva: https://itspm.ag/imperva277117988HITRUST: https://itspm.ag/itsphitweb____________________________ResourcesGitHub: https://github.com/Bader-ResearchArkouda: https://github.com/Bears-R-Us/arkoudaNJIT Institute for Data Science: https://datascience.njit.edu/____________________________To see and hear more Redefining Security content on ITSPmagazine, visit:https://www.itspmagazine.com/redefining-cybersecurityAre you interested in sponsoring an ITSPmagazine Channel?
In a recent paper, Daniel Reed, Dennis Gannon, and Jack Dongarra, have started an important discussion about HPC, its future, and its impact on American competitiveness. We welcome Dan Reed as a special guest of the @HPCpodcast to go a level deeper. Dan is Presidential Professor of Computational Science at the University of Utah and a thought leader and luminary of supercomputing. [audio mp3="http://orionx.net/wp-content/uploads/2022/03/017@HPCpodcast_American-Competitiveness-Future-of-HPC-w-Dan-Reed_20220321-new-1.mp3"][/audio] The post @HPCpodcast-17: American Competitiveness and Future of Supercomputing, with Dan Reed appeared first on OrionX.net.
Data Journalism is a hot topic in the news business. Reporters working in diverse media and diverse markets are increasingly being asked to work with data. What exactly makes for good data journalism and what does a reporter need to understand to use data well. Those are a few of the questions discussed on The Data Journalism Podcast and that is the focus of this episode of Stats and Stories with guests Alberto Cairo and Simon Rogers. Alberto Cairo is a journalist and designer, and the Knight Chair in Visual Journalism at the School of Communication of the University of Miami. He is also the director of the visualization program at UM's Center for Computational Science. He has been head of information graphics at media publications in Spain and Brazil. He is the author of several books including his upcoming, How Charts Lie: Getting Smarter About Visual Information, Cairo currently consults with companies and institutions like Google and the Congressional Budget Office, and has provided visualization training to the European Union, Eurostat, the Centers for Disease Control and Prevention, the Army National Guard, and many others. Simon Rogers is an award-winning data journalist, writer and speaker. Author of ‘Facts are Sacred‘, published by Faber & Faber in the UK, China and South Korea. He has also written a range of infographics for children books from Candlewick. Data editor on the News Lab team at Google, based in San Francisco, he is director of the Data Journalism Awards and teaches Data Journalism at Medill-Northwestern University in San Francisco and has taught at U Cal Berkeley Journalism school.
Today on Live Life in Motion, I talk with Ariela Safira! Ariela is the Founder and CEO at Real, a mental health innovation company. Ariela has been passionate about improving mental healthcare for years. Starting her career at IDEO, she studied, researched, and developed new concepts to approach mental healthcare and mental wellbeing. Ariela earned a BS in Mathematics and Computational Science from Stanford University, where the impetus for her work began. Later, she joined Columbia's Clinical Psychology program to train as a therapist and left the program in 2019 to launch Real. She's biked across multiple countries to fundraise for suicide prevention, and she is the recipient of the 2019 American Psychiatric Association's Innovation Award. Real is a team of innovators, clinicians, and technologists on a mission to not just normalize mental health care but celebrate it. We integrate empathy, creativity, and design to build a progressive mental health care experience, while also improving the quality of care itself. Real: https://www.join-real.com/about IG: https://www.instagram.com/arielasafira/?hl=en *It's time to get a NEW mattress!! www.engineeredsleep.com USE code LIVE10 for 10% off* New Website: www.LiveLifeInMotionPodcast.com
Key takeaways: Good data pipeline, “bad data” problem Investing in data observability - it will cost you one way or the other Being proactive vs reactive Data engineering and data product manager would be best to own observability Meet: Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company backed by Accel, GGV, Redpoint, and other top Silicon Valley investors. Previously, she was VP Customer Operations at Gainsight, a management consultant at Bain & Company, and served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science. If you have any questions for Barr, please feel free to reach out via: https://www.linkedin.com/in/barrmoses/ https://twitter.com/BM_DataDowntime I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.
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