OM DENNE EPISODE
On July 15, 2021, Science in Parallel launched a six-episode season celebrating the 30th anniversary of the Department of Energy Computational Science Graduate Fellowship program. After five years, 45 episodes and 55 guests, we're celebrating our coverage of computational collaboration and creativity, exploring research on energy, medicine, artificial intelligence, quantum science and more.
You'll meet:- Sarah Webb: Science in Parallel's host
- Anda Trifan: Senior Principal Scientist, GSK
- Amanda Randles: Professor of Biomedical Engineering, Duke University
- Anubhav Jain: Chemist/Staff Scientist/Engineer, Lawrence Berkeley National Laboratory
- Danilo Perez: Ph.D. student at New York University
- Ian Foster: Professor of Computer Science, University of Chicago, and Senior Scientist, Argonne National Laboratory
- Sunita Chandrasekaran: Associate Professor of Computer and Information Sciences, University of Delaware
- Quentarius Moore: Software Development Engineer, AMD
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ANDRE EPISODE I DENNE PODCAST
Foundation models-- LLMs or LLM-like tools-- are a compelling idea for advancing scientific discovery and democratizing computational science. But there's a big gap between these lofty ideas and the trustworthiness of current models.
Youngsoo Choi of Lawrence Livermore National Laboratory and his …
Computational scientists can take on the role of utility players in research, and Steven Wilson is one example. At Arizona State University he's built instruments, carried out experiments and dove deep into computational work. As a postdoc, he's working on a new challenge: building a quantum chemis…
Nearly a decade ago, the U.S Department of Veterans Affairs and the Department of Energy launched the MVP-CHAMPION initiative, not for sports, but as a data-driven strategy for improving healthcare outcomes for veterans and others. Silvia Crivelli of Lawrence Berkeley National Laboratory turned her…
In our seventh season, we're putting a spotlight on quantum computing, technology that could help speed up high-performance computing and artificial intelligence, shore up cybersecurity, study complex natural systems and much more.
Jarrod McClean works on quantum algorithms and applications at th…
Computational science requires translation, breaking ideas and principles into pieces that algorithms can parse. The work requires experts capable of zooming in on core computer science while also being able to step back and make sure that the big scientific questions are addressed.
This guest, Su…
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