Science in Parallel
von Krell Institute
S8E2: Fellows Forge an Industry Collaboration
Über diesen Podcast
Science in Parallel focuses on people in computational science and their interdisciplinary research to solve energy challenges, discover new materials, model medicines and more — using high-performance computing (HPC) and artificial intelligence. Host Sarah Webb interviews researchers about their career paths and motivations. Our conversations cover topics such as integrating emerging hardware, the effects of remote work, the role of creativity in computing and foundation models in science.
Our show is for curious, science-oriented listeners who like technology. You don't need a deep background in science and computing to learn from our guests.
Science in Parallel has been shortlisted for the Publisher Podcast Awards: for 2022 Best Technology Podcast, 2023 Best Science and Medical Podcast and both categories in 2024 and 2025. It is produced by the Krell Institute and is a media outreach project of the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program.
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- S8E2: Fellows Forge an Industry Collaboration · 20 Min. · Staffel 8 Folge 2In 2024, two Ph.D. students, an engineer and a computer scientist, walked up to NVIDIA's booth at the Supercomputing conference. Two years later, they've turned their idea into a…
- S8E1: How Conversation Can Fuel Computational Research · 23 Min. · Staffel 8 Folge 1Ethan Meitz and Jerry Wang of Carnegie Mellon University talk about molecular simulation, heat transfer and how conversation in many forms has shaped Ethan's Ph.D. research…
- S7E5: Celebrating Five Years of Science in Parallel · 20 Min. · Staffel 7 Folge 5On July 15, 2021, Science in Parallel launched a six-episode season celebrating the 30th anniversary of the Department of Energy Computational Science Graduate Fellowship…
- Quantum Quartet (Bonus): DOE CSGF Insights and Career Advice · 10 Min. · Staffel 7Recently four alumni of the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) met and discussed quantum science and quantum computing. They also shared…
- S7E4: Quantum Quartet: Insider Insights Toward Fault-Tolerant Systems · 49 Min. · Staffel 7 Folge 4Quantum computing involves collaboration and interdisciplinarity, the meeting of minds from different perspectives to solve problems where their expertise overlaps. This episode…
- S7E3: Sam Stanwyck: Quantum Error Correction and Research Partnerships · 20 Min. · Staffel 7 Folge 3NVIDIA is known for its AI work, and in quantum computing the company focuses on integrating quantum processors with classical processors to accelerate quantum computing. In this…
- S7E2: Megan Ivory: Supporting the Quantum Workforce · 42 Min. · Staffel 7 Folge 2
- Jarrod McClean (Bonus): Parsing Logical Qubits · 8 Min. · Staffel 7 Folge 1Quantum computing comes with a new layer of concepts. Quantum bits are called qubits, but there's more. Physical qubits are often grouped to form logical qubits. In our recent…
- S7E1: Jarrod McClean: Designing Quantum Algorithms · 32 Min. · Staffel 7 Folge 1In 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…
- S6E10: Sunita Chandrasekaran: Computation in Translation · 39 Min. · Staffel 6 Folge 10Computational science requires translation, breaking ideas and principles into pieces that algorithms can parse. The work requires experts capable of zooming in on core computer…
- S6E9: Silvia Crivelli: Understanding Suicide Risk and Building a Foundation Model for Medicine · 40 Min. · Staffel 6 Folge 9Nearly 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…
- S6E8:Youngsoo Choi: Building Reliable Foundation Models · 31 Min. · Staffel 6 Folge 8Foundation 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…
- S6E7: Steven Wilson: Craving Chemical Efficiency · 26 Min. · Staffel 6 Folge 7Computational 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…
- S6E6 [REPOST]: Joe Insley Transforms Big Data into Stunning Images · 30 Min. · Staffel 6 Folge 6While 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…
- S6E5: Amanda Randles: A Check-Engine Light for the Heart · 30 Min. · Staffel 6 Folge 5Duke University associate professor Amanda Randles' work to simulate and understand human blood flow and its implications demonstrates how high-performance computing paired with…
- S6E4: Joel Ye: Examining Neural Data More Efficiently and Holistically · 25 Min. · Staffel 6 Folge 4Understanding 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…
- S6E3: Jackson Burns: Avoiding Chemical Dead Ends · 26 Min. · Staffel 6 Folge 3Chemists and chemical engineers have modeled molecules for decades, but artificial intelligence and foundation models offer the prospect that researchers could train models with…
- S6E2: Prasanna Balaprakash: Predicting Earth Systems and Harnessing Swarms for Computing · 31 Min. · Staffel 6 Folge 2In 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…
- S6E1 - Ian Foster: Exploring and Evaluating Foundation Models · 30 Min. · Staffel 6 Folge 1Large 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…
- S5E7 - Computational Scientists Discuss 2024 Nobel Prizes · 12 Min. · Staffel 5 Folge 7Wrapping up our discussion of the 2024 Nobel Prizes in Physics and Chemistry, computer scientist Mansi Sakarvadia and computational structural biologist Josh Vermaas talk about…







