Podcasts about computational methods

Our guest is Prof. Andrea Barth, Head of Research Group for Computational Methods for Uncertainty Quantification at University of Stuttgart. We talk about the uniqueness of the Cluster of Excellence SimTech https://www.simtech.uni-stuttgart.de/, how to find a doctoral adviser, what she has learnt from her time as a Phd student for her current interactions with them and why it is wise to have a plan B in life.

Computational methods and machine learning are currently THE hot-topics and they are also applied in neuroscience research, showing us where the field is heading in the future. If you have ever wondered how these methods work, what their advantages - but also limitations - are and how they are implemented in research on women's mental health: We got you!In this episode Franziska is hosting Tobias Kaufmann, professor of neurotechnology and computational psychiatry at the University of Tübingen, who is also part of the IRTG2804. Tobias explains the basics of computational methods and gives us concrete examples of his own work, providing a first glimpse into the computational world. Also, we hear about his new ERC project: "HealthyMom: Modeling and maintaining maternal mental health".Timestamps:00:25 Introduction01:18 Computational psychiatry: Advantages & limitations10:15 Tobias' computational methods & examples: Prediction & classification models21:14 Computational methods in women's (mental) health: Focus on adolescence30:11 HealthyMom Project: Brain plasticity during pregnancy loss40:26 Recruitment information for Healthy Mom Study41:30 Summary43:40 Next steps in computational psychiatry and women's mental healthWebsite to Kaufmann Lab: https://www.kaufmannlab.org/About the HealthyMom Project: https://www.kaufmannlab.org/post/20230202-erc-consolidator-grant/References:Population-based neuroimaging reveals traces of childbirth in the maternal brain (de Lange, Kaufmann et al., 2019). https://doi.org/10.1073/pnas.1910666116Menarche, pubertal timing and the brain: female-specific patterns of brain maturation beyond age-related development (Gottschwesky, Kraft, & Kaufmann, 2024). https://bsd.biomedcentral.com/articles/10.1186/s13293-024-00604-4Domain adapted brain network fusion captures variance related to pubertal brain development and mental health (Kraft, Alnaes, & Kaufmann, 2023). https://www.nature.com/articles/s41467-023-41839-wModeling brain sex in the limbic system as phenotype for female-prevalent mental disorders (Matte Bon, Kraft, Comasco, Derntl, & Kaufmann, 2024). https://bsd.biomedcentral.com/articles/10.1186/s13293-024-00615-1Outline & questions: Franziska Weinmar & Gloria Matte BonSound recording: Franziska Weinmar with the equipment of the IRTG2804Editing: Franziska WeinmarDo you have any feedback, suggestions, or questions? Get in touch with us: irtg2804.podcast@gmail.comAre you intrigued by this topic and want to be kept updated? Follow us on twitter: @irtg2804 or instagram: @irtg2804 Hosted on Acast. See acast.com/privacy for more information.

With the rise of AI and machine learning, how are scientists incorporating these new tools in their research? With these computational methods, how are scholars stretching new limits and advancing our understanding of the world around us? On this exciting episode of Let's Talk Chemistry, hosts Yeongseo Son and Ankur Rao talk about their interview with Dr. Emily Ryan, an Associate Professor of Mechanical Engineering and Associate Director for the Institute for Global Sustainability at Boston University. Elaborating on her entirely computational lab, Dr. Ryan delves into her projects that deal with new-generation batteries, carbon capture, and more! She gifts us with stories of her discoveries, her motivations for working on sustainability, and her advice for the youth. We hope you enjoy! If you would like to know more about Dr. Emily Ryan, you can check out her research or reach her by email at ryanem@bu.edu.  About us: ChemTalk is a small student-led and ad-free non-profit working to become the top chemistry education platform in the country. Please support us by following our social media channels, sharing our content, and donating if possible. You can access our website for videos, articles, and tutorials on general, organic, and biochemistry. We also have a VERY cool interactive periodic table, articles about the elements and their properties, and experiment demos. ChemTalk is on TikTok, Instagram, Facebook, and Twitter which you can access here. Thank you for listening and see you next time!

Season 2 episode 2 of The Minhaaj Podcast this week brings on the child prodigy and genius co-creator of dataframes.jl package for Julia, Dr Bogumił Kamiński. Bogumil learned C language without owning a computer from library books at the age of 16 in a small Polish town. In post-communist Poland he went on to study applied problems in management and economics and his interest lies in computational models for real-life problems.He currently serves as the full professor of economics at the Warsaw School of Economics. He also holds the following positions:- Head of Decision Analysis and Support Unit- Chairman of the Scientific Council for the Discipline of Economics and Finance- Member of the Presidium, Statistics and Econometrics Committee, Polish Academy of Sciences- Adjunct Professor, Toronto Metropolitan University- Data Science Laboratory Researcher, Fields Institute, Computational Methods in Industrial Mathematics Laboratory- Affiliated Faculty, Toronto Metropolitan University, Cybersecurity Research LabPresident, INFORMS Polish Section- Co-editor, Central European Journal of Economic Modelling and Econometrics- Editorial board member, Multiple Criteria Decision Making journalIndependent Supervisory Board Member, AutoPartner S.A.Bogumił Kamiński is an expert in the application of mathematical modeling to solve practical problems in business. In the past, he gathered experience as head of business intelligence and data analytics units in one of the largest Polish consulting and IT solution implementation companies.His field of expertise is the creation of complex decision-support models that use machine learning, optimization, and simulation methods. He is one of the world-leading experts in the Julia language and has numerous contributions to the core of the language and the package ecosystem. He created the famous dataframes.jl package for data science.He also created SilverDecisions software, which is freely available online for modeling decision trees. He has written five books one of which I have reviewed earlier, Julia for Data Science.# Timestamps00:00 Intro01:08 Learning Programming, Communist Poland & First Computer07:07 Polish Education System & STEM teaching11:35 Julia's Conceptualization & Expectations28:05 PetaFLOP club language, Data Type-based Operations & Julia's Performance38:11 Project Celeste, 800M astronomical objects detection, HPC in Julia59:50 Julia in Academia vs Industry - Speed & Ease of Learning01:21:21 Customer-facing Apps, Streamline vs Genie01:38:56 Julia and LLMs, Falcon 40B, Training & Inferencing in Julia01:45:05 Relearning Julia, How to get Started01:51:09 From in-memory to cluster processing and MIT partnership01:59:09 Family, Productivity, Community & Work - Juggling different Balls --- Send in a voice message: https://podcasters.spotify.com/pod/show/minhaaj/message

The ICA's annual conference 2022 will start in a couple of days. In this episode, Emese Domahidi (TU Ilmenau) and Mario Haim (LMU Munich) discuss with Annie Waldherr (University of Vienna), current vice chair of the ICA's Computational Methods division, how to network in CCS. We touch upon the value of networking and how to network especially in the emerging field of CCS, given your specific career level. Of course, we also talk about the various receptions, the ICA dance, and other networking events at the conference. Finally, we talk about other opportunities to network, be it because one is unable to attend, be it at other conferences, or be it completely outside of conferences.

How to use Topologic to improve design workflows Dr. Wassim Jabi, Professor and Chair of Computational Methods in Architecture at Cardiff University, Topologic is a software development kit and plug-in that enables logical, hierarchical and topological representation of spaces and entities. Topologic can be used with Dynamo, Blender and many more tools. Subscribe Spotify | Apple | YouTube | Google | Stitcher | Player.fm | iHeart Resources Dr. Wassim Jabi on Twitter Dr. Wassim Jabi on LinkedIn Topologic

Paul B. Jaskot (Duke University) speaks with Hubertus Kohle (professor of art history at Ludwig Maximilian University of Munich in Germany) and Emily Pugh (an art historian and the Digital Humanities Specialist for The Getty Research Institute in Los Angeles) on the relation between the digital humanities and the potential for art history. They reflect on how we work as scholars in terms of accessing and documenting archives and data, and the difference in scale between transferable computational methods as opposed to project-specific solutions. Both guests discuss how engagement with the digital might grant us distance to see our discipline anew, or reveal biases within the history of art, while also expressing some concern about a plateau in innovation, or a resistance in art history to collaborating with practitioners from adjacent fields who might open new directions within the digital. Throughout, the conversation circles around the question of how computational approaches may equip us to become more critical art historians. This fourth season of In the Foreground is a special series of five roundtable conversations dedicated to “the Grand Challenges” – a phrase frequently adopted in the sciences to refer to the great unanswered questions that represent promising frontiers – of bringing together digital and computational methods and the social history of art. This series grows out of a colloquium on this topic convened by Anne Helmreich (Associate Director of the Getty Foundation) and Paul B. Jaskot (Professor of Art History at Duke University) at the Clark's Research and Academic Program in April 2019. Anne and Paul serve as the guest interviewers for this podcast series, for which they have invited back colloquium participants to reflect further on how digital art history might help us explore social history of art's future, and which digital methods might be effective at analyzing large scale structural issues and modes of visual expression. 

 This fourth season of In the Foreground is a special series of five roundtable conversations dedicated to “the Grand Challenges” – a phrase frequently adopted in the sciences to refer to the great unanswered questions that represent promising frontiers – of bringing together digital and computational methods and the social history of art. This series grows out of a colloquium on this topic convened by Anne Helmreich (Associate Director of the Getty Foundation) and Paul B. Jaskot (Professor of Art History at Duke University) at the Clark's Research and Academic Program in April 2019. Anne and Paul serve as the guest interviewers for this podcast series, for which they have invited back colloquium participants to reflect further on how digital art history might help us explore social history of art's future, and which digital methods might be effective at analyzing large scale structural issues and modes of visual expression. In this episode, Anne Helmreich speaks with Paul B. Jaskot and Barbara McCloskey, professor of art history at the University of Pittsburgh and a specialist of twentieth-century German art, on the role of social art history in a digital world. Paul and Barbara consider the simultaneous emergence of both computational methods and social art history in the 1970s and reflect on what drew them personally to both approaches. They discuss the centrality of collaboration and the role played by institutional and disciplinary expectations for how scholarship is produced. Throughout, the conversation turns to questions of scale and sociality, and the speakers ponder the blind spots, limitations, or dangers of the digital as well as the ways in which both social art history and the digital have – and have not – fulfilled their promises.

Dr. Hayden Metsky begins the episode by describing his goal of being able to harness sequenced viral genomes to computationally design diagnostics, therapies, and vaccines. He discusses the value of having methods available that can handle all available genomic data for diverse species for diagnostics and therapies. Next, we learn how CRISPR can be used in a diagnostics setting. Dr. Metsky explains how collateral cleavage broadens the use of CRISPR beyond simply being a tool for genome editing. Advantages and disadvantages of CRISPR-based diagnostics techniques are discussed versus, for example, a more traditional qPCR approach. The discussion then moves on to the computational component of the diagnostics design problem. Dr. Metsky discusses his 2019 Nature Biotechnology paper on the CATCH method for use in hybridization capture and his progression of work in this area (see https://www.nature.com/articles/s41587-018-0006-x). Finally, we discuss his work in designing diagnostics for SARS-CoV-2, CRISPR-based tests being able to gain widespread adoption, and expanding this work beyond viruses to include bacteria as well.

Having trouble keeping up with the literature in Alzheimer's Disease? We are here to help!  Joseph tells you about more papers on drugs in development from June 2020.   These studies encompass those done in vitro or using computational models, but not animal testing. This episode brings together abstracts that were not sorted into a specific target cluster, so you will hear about a variety of treatment targets such as histone deacetylase, caspase-6, monoamine oxidase, microRNA, and more! To receive the list of papers covered (with timestamps), please fill this form: -------->  https://forms.gle/CVVbznAFM8pamdgk6  ------- or by tweeting at us: @AMiNDR_podcast ----------------------------------------------------------------------- We would appreciate your feedback so we can better cater to your needs.  You can fill our feedback form here ---------->  https://forms.gle/5aq2JyrT6g4P1m8v6You can also share your thoughts and suggestions by contacting us: Email: amindrpodcast@gmail.com Facebook:  AMiNDR Twitter: @AMiNDR_podcast*New* Instagram: @AMiNDR.podcast----------------------------------------------------------------------- Today's episode was scripted, hosted, and edited by Joseph Len Liang-Lee, and made possible by an entire team of volunteers behind the scenes.  Our music is from "Journey of a Neurotransmitter" by musician and fellow neuroscientist Anusha Kamesh; you can find the original piece and her other music on soundcloud under Anusha Kamesh or on her YouTube channel, AKMusic https://www.youtube.com/channel/UCMH7chrAdtCUZuGia16FR4w ----------------------------------------------------------------------- If you are interested in joining the team, send us your CV by email. We are specifically looking for help with abstract summary and podcast editing. However, if you are interested in helping in other ways, don't hesitate to apply anyways.  ----------------------------------------------------------------------- *About AMiNDR: * Learn more about this project and the team behind it by listening to our first episode: "Welcome to AMiNDR!"  

Dr. Solomon Messing, Chief Scientist at ACRONYM and Affiliated Researcher at Georgetown University, shares his insights on data science across academia, the tech industry, and political campaigning space. We discuss how computational social science methods have changed over time, and how system architectures can be built to protect social media users' privacy. We also chat about current trends that Dr. Messing is observing at ACRONYM relating to the persuasiveness and cost of political ads on social media. Here's the paper we discuss on differential privacy, and the Facebook URLs Dataset Codebook. 

Dr. Alexander Stewart, Assistant Professor of Biology at the University of Houston, guests to discuss his research on "information gerrymandering," recently published in Nature. The study uses a voter game, mathematical modelling, social media data, and legislative data to examine how information asymmetries in social networks impact collective decision-making processes. We break down the study, and the implications of its findings for democracy. Read the full study, and check out the video showing information gerrymandering in action! 

Michael Schuckers is the Charles A. Dana Professor of Statistics at St. Lawrence University in Canton, NY. An applied statistician he has received funding from the US National Science Foundation, the US Department of Defense and the US Department of Homeland Security. He is the author of over three dozen publications including Computational Methods for Biometric Authentication (Springer, 2010). Additionally, Schuckers has done work in sports analytics particularly ice hockey including consulting with a MLB team and an NHL team. For his work in this area, he was named a American Statistical Association's Section on Statistics in Sports "Significant Contributor". In 2013-14, he was a Fulbright Scholar via the Fulbright-VTT Grant in Science, Technology and Innovation in Espoo, Finland. Schuckers obtained his Bachelor's degree from Penn State, a Master's from the University of Michigan and a Doctorate in Statistics from Iowa State University.

Using ml for Discovery of new material. Using natural language processing to detect sentiment and generating alerts

Hosts Shelli Nelson and Patrick Emmons are joined today by Adam Hecktman, long time civic technology executive at Microsoft. Adam shares how the role of technology in communities has evolved throughout the years. We discuss the social impact of technology, efficient government and the challenge of keeping talent in Chicago. [03:00] - 27 years and 10,000 great days at Microsoft[03:50] - The challenge of keeping talent in Chicago[05:35] - Chicago driving the transportation logistics industry forward[08:30] - Hiring for skills not diplomas[09:45] - Mentoring upcoming entrepreneurs in the social impact space[11:50] - Experiences with demands for efficient government [13:30] - Chicago mayoral campaigns with someone not named Daley[15:45] - 1871, Governor Pritzker and Illinois economic development[20:00] - The State of Illinois opportunity to provide equity in education[25:56] - The opportunity to live, work and grow in Chicago[29:00] - The call to action for business owners in Chicago when hiring candidates [34:15] - Lesson in encouraging lifelong learning & Microsoft Partner Program[38:30] - Creating a culture of learning starts at the top of an organization[40:00] - The gig economy, micro-internships and new models of employment[42:00] - Adam's one word  Adam J. Hecktman is Microsoft’s Director of Technology and Civic Innovation for Chicago. In this capacity, Adam helps the cities' civic leaders – and the communities they serve – use cutting-edge ideas around technology to solve the city’s biggest social challenges. He provides guidance on the key issues and opportunities facing neighborhoods and communities today and in the future. Prior to this role, Adam was the Director of the Microsoft Technology Center – Chicago, helping organizations ensure long-term success when facing their toughest business challenges and opportunities. He has been with Microsoft in Chicago since 1991. Prior to Microsoft, Adam was a consultant at Accenture. Adam received a Bachelor of Science in Commerce and Business Administration from the University of Illinois at Urbana-Champaign and is pursuing his Master of Data Science with a concentration on Computational Methods at DePaul University. Adam has served his community in various capacities and appointments at non-profit, civic, and professional organizations including: Founder of the Chicago City Data Users Group, Advisory Board of IT Knowledge Abilities Network, Leadership Council of THRIVE Chicago, along with many others. Adam can be found on Twitter and at the Microsoft Chicago homepage. If you'd like to receive new episodes as they're published, please subscribe to Innovation and the Digital Enterprise Insider in Apple Podcasts, Google Podcasts, Spotify or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review in Apple Podcasts. It really helps others find the show Episode produced by Dante32.

Kevin J.S. Zollmann (CMU) gives a talk at the Workshop on Computational Methods in Philosophy (11 April, 2014) titled "Computer Simulation as a tool for the Philosopher". Abstract: While other sciences have been quick to adopt computational methods, philosophy has resisted. In this talk I will argue that rather than being a radical new methodology, computer simulations are entirely consistent with traditional philosophical argument. A number of common objections to computer simulations will be discussed, and some advice regarding best practices in simulation will be provided.

Dr. Chris Barrett is Executive Director and Professor at the Biocomplexity Institute of Virginia Tech, as well as a Professor in the Department of Computer Science at Virginia Tech. Chris lives on a small farm in the Blue Ridge area of Virginia, and the they daily chores keep him quite busy. He also enjoys playing guitar and riding his motorcycle in his free time. At the Biocomplexity Institute, Chris and his colleagues are using computational methods to better understand our very complicated, interdependent, and multiscale world. They are studying how information is created, transmitted, and manipulated in living systems. Their goal is to take these large, multiscale, massively-interacting systems that have billions of interacting pieces and bring it into a state where people can begin to understand and make sense of them. Chris received a M.S. in Engineering Science and a Ph.D. in Bioinformation Systems from the California Institute of Technology. He also earned a U.S. Navy Aerospace Experimental Psychology Post PhD certification. Before coming to Virginia Tech, Chris led a research group at the Naval Air Development Center, and he later led the Basic and Applied Simulation Science Group at the Los Alamos National Laboratory. Chris has received many awards and honors throughout his career, including Distinguished Service Awards from the U.S. Navy, Los Alamos National Laboratory, the Alliance for Transportation Research, and the Royal Institute of Technology in Stockholm. He was also named a Jubilee Professor in Computer Science and Engineering at Chalmers University in Gothenburg, Sweden. In our interview Chris tells us more about his life and science.

Download Audio File Finite Element Analysis is commonly utilized in understanding, designing and manufacturing pre-metered coating equipment. But the use of FEA is not limited to understanding fluid flow. It can also be utilized to determine the structural strength of the equipment and the temperature effect of a heated [...]

Download Audio File As the world of liquid coating has advanced, so has the design and manufacturing of the equipment. In the world of pre-metered coating, slot die technology has progressed rapidly since it's early years because of computer simulation. The ability to take the rheological fluid characteristics and [...]

On this episode we're joined by University of Texas at Austin computer science PhD student, Siavash Mirarab, whose research focuses on large-scale phylogenetics. Siavash and his advisor Tandy Warnow developed a new technique for estimating evolutionary relationships ("statistical binning") that enabled an international consortium of researchers to redraw the bird family tree. He talks about this part of his PhD work which was recently published in Science magazine.  Join us to learn about the computational side of biology, where complex models and methodologies are used to understand evolution from Slavish Mirarab. 

Speaker: Dr. Raju Vatsavai, Chancellor’s Faculty Excellence Program Cluster Associate Professor of Geospatial Analytics, Dept. of Computer Sciences, NCSU, & Center’s Associate Director of Computational Methods

Presented by Jean Burgess and Axel Bruns on 15th August 2014.This presentation outlines the emerging challenges for social media research in Australia, presents the current state of the field, and outlines the research agenda of the TrISMA project. In particular, we highlight the key practical, conceptual, methodological, and ethical issues which the project will need to address as it advances our current collective capabilities for conducting computationally-enabled social media research.

Ranner, T (University of Leeds) Wednesday 25 June 2014, 14:50-15:20