S6E4: Joel Ye: Examining Neural Data More Efficiently and Holistically

Science in Parallel

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TED Talks Daily

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Are we cooked? How social media shapes your language | Adam Aleksic 15:16

14 weeks پیش15:16

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دوست داشته شد

15:16

Gen Z slang is rife with new words like "unalive," "skibidi" and "rizz." Where do these words come from — and how do they get popular so fast? Linguist Adam Aleksic explores how the forces of social media algorithms are reshaping the way people talk and view their very own identities. For a chance to give your own TED Talk, fill out the Idea Search Application: ted.com/ideasearch . Interested in learning more about upcoming TED events? Follow these links: TEDNext: ted.com/futureyou TEDSports: ted.com/sports TEDAI Vienna: ted.com/ai-vienna TEDAI San Francisco: ted.com/ai-sf Hosted on Acast. See acast.com/privacy for more information.…

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Joel Ye is a Ph.D. student in the program in neural computation at Carnegie Mellon University in Pittsburgh, where he studies ways to understand brain data and brain-computer interfaces. He's a third-year Department of Energy Computational Science Graduate Fellow.

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S6E4: Joel Ye: Examining Neural Data More Efficiently and Holistically

Science in Parallel

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Science in Parallel

1
S6E6 [REPOST]: Joe Insley Transforms Big Data into Stunning Images 30:21

۸ روز پیش30:21

30:21

While we take a short summer break, we’re posting one of our favorite past episodes and a great follow-up to our last episode with Amanda Randles of Duke University. In 2023, we talked with Joe Insley of Argonne Leadership Computing Facility and Northern Illinois University about data visualization, from the practical process of helping researchers understand their results to showstopping images and animations that make the work accessible to broad audiences. Joe discusses his career path, how he and his team approach visualization projects, his work with students and his advice for improving scientific data visualization. You’ll meet: Joe Insley is team lead for visualization and data analysis at Argonne Leadership Computing Facility and associate professor in the School of Art and Design at Northern Illinois University . Joe got his start in scientific visualization creating interactive data explorations for the CAVE (cave automatic virtual environment) .…

Science in Parallel

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S6E5: Amanda Randles: A Check-Engine Light for the Heart 29:47

۵ weeks پیش29:47

29:47

Duke University associate professor Amanda Randles' work to simulate and understand human blood flow and its implications demonstrates how high-performance computing paired with scientific principles can help improve human health. In this conversation, she talks about how she brought together early interests in physics, coding, biomedicine and even political science and policy and followed her enthusiasm for the Human Genome Project. She discusses how supercomputers are pushing the boundaries of what researchers can learn about the circulatory system noninvasively and how that knowledge, paired with data from wearable devices, could lead to new ways to monitor and treat patients. She also talks about her public engagement and science policy work and its importance, both for educating patients and supporting computational science’s future. You’ll meet: Amanda Randles is the Alfred Winborne and Victoria Stover Mordecai associate professor of biomedical sciences at Duke University and director of Duke’s Center for Computational and Digital Health Innovation . Her research using high-performance computing to model the fluid dynamics of blood flow has garnered numerous awards including one of the inaugural Sony Women in Technology Awards with Nature , the 2024 ISC Jack Dongarra Early Career Award and the 2023 ACM Prize in Computing. Amanda completed her Ph.D. at Harvard University working with Efthimios Kaxiras and Hanspeter Pfister. She was a Department of Energy Computational Science Graduate Fellowship (DOE CSGF) recipient from 2010 to 2013 and a Lawrence Fellow at Lawrence Livermore National Laboratory from 2013 to 2015. Follow Amanda on social media: LinkedIn , BlueSky and Instagram.…

Science in Parallel

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S6E4: Joel Ye: Examining Neural Data More Efficiently and Holistically 25:10

۹ weeks پیش25:10

25:10

Understanding how the brain works remains a grand scientific challenge, and it's yet another area where researchers are examining whether foundation models could help them find patterns in complex data. Joel Ye of Carnegie Mellon University talks about his work on foundation models, their potential and limitations and how others can get involved in applying these AI tools. Joel Ye is a Ph.D. student in the program in neural computation at Carnegie Mellon University in Pittsburgh, where he studies ways to understand brain data and brain-computer interfaces. He's a third-year Department of Energy Computational Science Graduate Fellow.…

Science in Parallel

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S6E3: Jackson Burns: Avoiding Chemical Dead Ends 26:01

14 weeks پیش26:01

26:01

Chemists and chemical engineers have modeled molecules for decades, but artificial intelligence and foundation models offer the prospect that researchers could train models with predictive abilities in one area of chemistry that could be fine-tuned for another. Trustworthy chemistry foundation models could help streamline the experimental time and resources needed to discover new medicines or design new batteries. Massachusetts Institute of Technology Ph.D. student Jackson Burns is working on these questions. He describes the promise and challenges of building foundation models in chemistry, his work on chemprop, and his advice to other researchers interested in working on foundation models for chemistry and science in general. You'll meet: Jackson Burns is a Ph.D. student in William Green's chemical engineering group at MIT. He's also a third-year Department of Energy Computational Science Graduate Fellowship (DOE CSGF) recipient. He completed his undergraduate degree in chemical engineering at the University of Delaware.…

Science in Parallel

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S6E2: Prasanna Balaprakash: Predicting Earth Systems and Harnessing Swarms for Computing 30:51

18 weeks پیش30:51

30:51

In the second episode in our series on foundation models for science, we discuss Oak Ridge National Laboratory's work and hear about lessons learned from the recent 1000 Scientists AI Jam, a recent event that brought together researchers from several Department of Energy national laboratories, OpenAI and Anthropic. My guest is Prasanna Balaprakash, ORNL's director of AI programs. We talk about how foundation models could help with climate forecasts and his team's 2024 Gordon Bell finalist research and futuristic work that applies principles of swarm intelligence for managing distributed computing resources. Prasanna Balaprakash has been the director of artificial intelligence programs at Oak Ridge National Laboratory (ORNL) since March 2023. Previously he had worked as a postdoctoral researcher and staff computer scientist at Argonne National Laboratory. He was a 2018 recipient of a Department of Energy Early Career Research Program award.…

Science in Parallel

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S6E1 - Ian Foster: Exploring and Evaluating Foundation Models 29:53

25 weeks پیش29:53

29:53

Large language models aren't just powering chatbots like ChatGPT. This type of computational model is an example of a particular flavor of artificial intelligence known as foundation models, which are trained on vast amounts of data to make inferences in new areas. Although text is one rich data source, science offers many more from biology, chemistry, physics and more. Such models open up a tantalizing new set of research questions. How effective are foundation models for science? How could they be improved? Could they help researchers work on challenging questions? And what might they mean for the future of science? This episode begins a series where we'll explore these questions and more, talking with computational scientists about their work with foundation models and the opportunities and challenges in this exciting, rapidly changing area of research. We'll start by talking with Ian Foster of Argonne National Laboratory and the University of Chicago about AuroraGPT, a foundation model being developed for science and named for Argonne's new exascale computer. You'll meet: Ian Foster is a senior scientist at Argonne National Laboratory where he directs the data science and learning division. He’s also a professor of computer science at the University of Chicago . He is the co-leader of the data team for Argonne's AuroraGPT project.…

Science in Parallel

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S5E7 - Computational Scientists Discuss 2024 Nobel Prizes 12:17

31 weeks پیش12:17

12:17

Wrapping up our discussion of the 2024 Nobel Prizes in Physics and Chemistry, computer scientist Mansi Sakarvadia and computational structural biologist Josh Vermaas talk about the recent prizes and what they mean for science. You'll hear about how the prizes both break down research barriers and introduce concerns about misinformation and public trust. The research honored with the chemistry prize has already changed how researchers study questions that involve understanding proteins' structures. For more on the 2024 Nobel Prizes, check out our recent interview with Anil Ananthaswamy . You'll meet: Mansi Sakarvadia is a Ph.D. student in the computer science department at the University of Chicago and a current Department of Energy Computational Science Graduate Fellow . She studies ways to interpret how machine learning models work. Josh Vermaas is an assistant professor at Michigan State University. His research in computational structural biology focuses on understanding photosynthesis and energy transfer processes in plants as part of the MSU-DOE Plant Research Laboratory .…

Science in Parallel

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S5E6 - Anil Ananthaswamy: AI's Nobel Moment 32:17

36 weeks پیش32:17

32:17

2024 was artificial intelligence’s Nobel Prize year with the physics and chemistry prizes recognizing the underpinnings and application of these algorithms. Science journalist and author Anil Ananthaswamy spent years writing a popular book, Why Machines Learn: The Elegant Math Behind Modern AI , that explores the equations and historical context for this technology. In this conversation, Anil and host Sarah Webb explore that math and history, the significance of these Nobel Prizes for both AI and science, and the challenges that come with this powerful and fast-moving technology. You’ll meet: Anil Ananthaswamy is an award-winning journalist and journalist-in-residence at the Simons Institute for the Theory of Computing at the University of California, Berkeley. Previously he has worked as a staff writer and editor for New Scientist magazine. He has written four books including Why Machines Learn: The Elegant Math Behind Modern AI (Dutton, 2024).…

Science in Parallel

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S5E5 - Sadie Bartholomew: Patterns in Computing and Art 28:36

40 weeks پیش28:36

28:36

The annual Supercomputing meeting (SC24) convenes November 17-22 in Atlanta with the theme of HPC creates, and Science in Parallel previews a special display at the meeting: the Art of HPC . Host Sarah Webb interviews Sadie Bartholomew of the United Kingdom's National Centre for Atmospheric Science and the University of Reading about her work as a research software engineer and her passion for creative coding. She submitted several pieces of digital art that will be displayed at SC24. Sadie discussed the many patterns in her work—within weather and climate, in coding and in digital art. She makes her pieces using matplotlib, a visualization tool in Python. She talks about the synergy and fulfillment she finds at the interface of computing and aesthetic pursuits.…

Science in Parallel

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S5E4 - Paulina Rodriguez: Building Credibility and Authenticity 30:55

45 weeks پیش30:55

30:55

Early in her applied math journey, Paulina Rodriguez was a little skeptical of calculators and computers. But her desire to really understand what’s going on under the hood has ultimately led to satisfying research. During her Ph.D., she’s explored the credibility of computational models for medical device applications, making sure that researchers understand the accuracy, validity and uncertainty of simulated results. Paulina shares how she honed her problem-solving skills and creativity as she navigated her education. Her enthusiasm and determination are infectious, and she describes her personal struggle to bring her whole self to her work. You'll meet: Paulina Rodriguez , a Ph.D. student in applied math at George Washington University and a fourth-year recipient of the Department of Energy Computational Science Graduate Fellowship (DOE CSGF). Paulina completed her bachelor’s degree at University of California, Santa Cruz and master’s degree at Claremont Graduate University, both in mathematics. Her current research focuses on establishing methods for assessing the credibility of computational models for medical device applications, work that she’s doing at Sandia National Laboratories in New Mexico in collaboration with the U.S. Food and Drug Administration. Episode artwork created using ChatGPT from prompts by Paulina Rodriguez.…

Science in Parallel

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S5E3 - Paul Sutter the Spaceman: Adventures in Science and Outreach 45:38

49 weeks پیش45:38

45:38

Science communication often attracts people with diverse interests, who thrive in multiple roles. Paul Sutter is no exception: he’s an astrophysicist, host, author and more. He’s also a visiting professor at Barnard College, Columbia University. Paul’s roots are in computational science, and he shares how his many projects continue to build on that foundation. We also discuss his most recent book: Rescuing Science: Restoring Trust in an Age of Doubt, which critiques today’s scientific enterprise and and offers ideas for supporting a better future. You'll meet: Paul M. Sutter is a theoretical cosmologist, science communicator, media host, NASA advisor and U.S. cultural ambassador. He is currently a visiting professor at Barnard College, Columbia University. He completed his physics Ph.D. in 2011 at the University of Illinois Urbana-Champaign, where he was supported by a Department of Energy Computational Science Graduate Fellowship . He also held a joint position as chief scientist at the Center of Science and Industry in Columbus, Ohio, and as a cosmological researcher at the Ohio State University.…

Science in Parallel

1
S5E2 - Rogelio Cardona-Rivera Plays Games for Science 46:09

1 year پیش46:09

46:09

Video games are everywhere, but the fundamental elements that generate human reactions such as suspense or surprise aren’t understood. Instead, game designers start from scratch each time they want to build a new experience for players. Rogelio Cardona-Rivera of the University of Utah wants to understand games and the fundamental elements that make people respond as they do—as a science of games. The research is important for more than just gaming—Rogelio is working on a variety of projects, including artificial intelligence research, technology for Indigenous storytelling and virtual reality in math education. Join us for a conversation about the emerging field of technical games research that also dives into the creative and communications challenges of working at the bleeding edge of disparate fields: computer science, cognitive science, narrative and more. You’ll meet: Rogelio Cardona-Rivera is an assistant professor of games at the University of Utah. Rogelio completed their Ph.D. at North Carolina State University in 2019, supported by a Department of Energy Computational Science Graduate Fellowship and funding from the National GEM Consortium . Their undergraduate degree is in computer engineering from the University of Puerto Rico at Mayagüez.…

Science in Parallel

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S5E1 - Lois Curfman McInnes: Building Software Sustainability and Broadening Workforce Participation 25:26

1 year پیش25:26

25:26

The field of high-performance computing (HPC) currently faces dual challenges: important technical problems that require a skilled workforce and the need to recruit more computational researchers. This conversation with Lois Curfman McInnes of Argonne National Laboratory examines both the complexity in building scientific software and the work needed to build the HPC workforce of the future. You'll meet: Lois Curfman McInnes is a senior computational scientist in the mathematics and computer science division at Argonne National Laboratory . She served as deputy director for the software technology focus are of the U.S. Department of Energy's Exascale Computing Project and completed her Ph.D. in applied mathematics at the University of Virginia.…

Science in Parallel

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S4E4 - Anubhav Jain: Hacking Materials 32:53

۲ years پیش32:53

32:53

Artificial intelligence is reshaping research to discover new materials for a range of important applications. In this episode, meet Anubhav Jain of Lawrence Berkeley National Laboratory, a researcher who has been at the forefront of this transition. He uses machine learning and other computational tools as a materials scientist to discover compounds that could store and convert energy and solve other societal problems. Anubhav’s current research path started in graduate school at MIT, where he was supported by a Department of Energy Computational Science Graduate Fellowship . We discuss how computational tools including AI have moved from a novel idea to a central piece of materials discovery, how he applies machine learning tools to other tasks such as mining data from scientific papers, and the rewards that came from writing his blog called Hacking Materials . This episode concludes our season 4 series on creativity in computing.…

Science in Parallel

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Season 4, Episode 3 -- Danilo Pérez: Embracing Versatility 37:30

۲ years پیش37:30

37:30

Sometimes extraordinary circumstances like the pandemic offer researchers unexpected opportunities to serve others. Danilo Pérez, now a Ph.D. student in computational neuroscience at New York University, found himself in this situation in Puerto Rico in 2020. He contributed his mathematical modeling expertise as part of a team that built and maintained Puerto Rico’s public health data during that intense period. Later he contributed to AI-based modeling of coronavirus variants that won major honors in the computing community: the 2022 Gordon Bell Special Prize for HPC-Based COVID-19 Research. These days Danilo is developing computational tools to understand value-based decision making at NYU, a process that can be applied in economics, medicine and public policy. We discuss how compelling science problems have propelled his training, how music and family support him, and his focus on citizen-facing science, especially in Puerto Rico. You’ll meet: Danilo Pérez, a Ph.D. student in computational neuroscientist jointly advised by Christine Constantinople and Cristina Savin in NYU’s Center for Neural Science. He is a current recipient of a Department of Energy Computational Science Graduate Fellowship ( DOE CSGF ). This conversation was recorded in July 2023 at the Annual Program Review of the DOE CSGF in Washington, D.C. Read more about Danilo and his work in DEIXIS .…

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