science
Hosted by Krell Institute · science · EN · 47 episodes
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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Booking probability
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Signup to Generate a PitchScience 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.
Science in Parallel is hosted by Krell Institute. The show has published 47 episodes to date.
Recent episodes include "S8E1: How Conversation Can Fuel Computational Research" (16 September 2026, 23 minutes), "S7E5: Celebrating Five Years of Science in Parallel" (15 July 2026, 20 minutes), and "Quantum Quartet (Bonus): DOE CSGF Insights and Career Advice" (17 June 2026, 10 minutes).
Science in Parallel publishes roughly monthly, with episodes averaging 28 minutes across 47 episodes.
Booking probability for Science in Parallel is 32%, and the host is rated Selective on guests. Science in Parallel requires a Pod Score of 80 or higher. Science in Parallel's contact route on record: verified email.
The strongest fits for Science in Parallel are Scientific Research & Development and Cloud, Data & Web Hosting. Science in Parallel has a science audience.
Krell Institute hosts Science in Parallel, a science show with 47 episodes published.
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Episode #1
Ethan 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. Ethan is a mechanical engineering Ph.D...
Episode #5
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...
Science in Parallel
Recently four alumni of the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) met and discussed quantum science and quantum computing. They also shared how the DOE CSGF helped their careers and...
Episode #4
<p>Quantum computing involves collaboration and interdisciplinarity, the meeting of minds from different perspectives to solve problems where their expertise overlaps. This episode does a version of that with audio...
Episode #3
<p>NVIDIA 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 conversation NVIDIA's Sam Stanwyck...
Episode #1
<p>Quantum 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 conversation with Jarrod McClean, we...
Episode #1
<p >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...
Episode #10
<p>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...
Episode #9
<p>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...
Episode #8
<p>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...
Episode #7
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...
Episode #6
<p>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...
Episode #5
<p>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...
Episode #4
<p>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...
Episode #3
<p>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...
Episode #2
<p>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...
Episode #1
<p>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...
Episode #7
<p>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...
Episode #6
<p >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...
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