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Science in Parallel focuses on people in computational science and their work simulating climate and the cosmos, understanding viral infections, building alternative energy strategies and more – using high-performance computing (HPC). Host Sarah Webb interviews researchers about their career paths and motivations. Our conversations cover topics such as artificial intelligence, integrating emerging hardware, the effects of remote work, promoting diversity and inclusion, and the role of creati ...
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S5E4 - Paulina Rodriguez: Building Credibility and Authenticity
30:55
30:55
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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…
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S5E3 - Paul Sutter the Spaceman: Adventures in Science and Outreach
45:38
45:38
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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…
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S5E2 - Rogelio Cardona-Rivera Plays Games for Science
46:09
46:09
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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…
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S5E1 - Lois Curfman McInnes: Building Software Sustainability and Workforce Diversity
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25:26
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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, especially those from underrepresented communities. This conversation with Lois Curfman McInnes of Argonne National Laboratory examines both the complexi…
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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 compoun…
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Season 4, Episode 3 -- Danilo Pérez: Embracing Versatility
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37:30
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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 mainta…
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Season 4, Episode 2 -- Casey Berger: Choose Your Own Multidimensional Career
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29:46
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Traditional science career advice often urges people to specialize and become the best at one activity. But that perspective can undervalue interdisciplinary researchers and other polymaths who can see connections between and beyond science and engineering fields. This episode’s guest, Casey Berger, describes how she has navigated this second appro…
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Season 4, Episode 1 -- Creativity in Climate Modeling
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36:53
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Season 4 of Science in Parallel centers around creativity and computing, starting with an interview about climate modeling. At this nexus of physics, earth science, mathematics and computing, researchers are also racing against the clock to accurately predict how global climate is shifting before the changes happen. Pulling all the scientific piece…
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Season 3, Episode 5 -- Beyond Exascale: Exploring Emerging Hardware
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The exascale era in computing has arrived, and that brings up the question of what’s next. We’ll discuss some emerging processor technologies-- molecular storage and computing, quantum computing and neuromorphic chips—with an expert from each of those fields. Learn more about these technologies’ strengths and challenges and how they might be incorp…
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Season 3, Episode 4 -- Gabriel Casabona: It All Comes Down to Gravity
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29:03
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Although he’s always loved space, Gabriel Casabona pursued other fields, including medicine and religion, before landing in astrophysics. We discussed how his passion for physics motivated him to deepen his knowledge of math and computing, how gravity’s mysteries define his work and other big challenges he hopes to work on during his career. You’ll…
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Season 3, Episode 3 -- Tammy Ma: Fusion Ignition and Beyond
19:13
19:13
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In early December 2022, Lawrence Livermore National Laboratory announced that the National Ignition Facility (NIF) had achieved fusion ignition—a reaction of merging hydrogen isotopes that produced more energy than the lasers put in. High-performance computing is an important part of designing, analyzing and refining these experiments, and this epi…
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Season 3, Episode 2 –- Margaret Lawson: Finding Her Place
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21:25
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Even after enjoying her first computer science course, Margaret Lawson wasn’t convinced she’d have a place in the field. But today she works on cloud storage for Google after completing her Ph.D. at the University of Illinois, Urbana-Champaign, where she was supported by a Department of Energy Computational Science Graduate Fellowship (DOE CSGF). T…
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Season 3, Episode 1 -- Joe Insley: Big Data to Beautiful Images
29:52
29:52
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Making sense of computational science takes a multidisciplinary team, including science visualization experts who translate data into images that both parse information so that it’s comprehensible and render it into beautiful images and skillful animations. Joe Insley of Argonne Leadership Computing Facility and Northern Illinois University has bee…
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Season 2, Episode 6 -- Pushing Limits in Computing and Biology
41:46
41:46
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Science in Parallel’s season two concludes with a conversation about answering important questions in biology and medicine with leadership class supercomputers, including urgent issues that came up during the COVID-19 pandemic. You’ll hear from Anda Trifan of the University of Illinois, Urbana-Champaign and Amanda Randles of Duke University. Starti…
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Season 2, Episode 5 -- Improving Computing Performance and Workforce Diversity
27:31
27:31
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Valerie Taylor doesn’t shy away from challenging problems with multiple layers. At Argonne National Laboratory, she manages teams that develop algorithms, data management strategies, software and hardware to support scientific simulations, including those on the Department of Energy’s leadership-class supercomputers. Her research focuses on perform…
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Season 2, Episode 4 -- You're Moving to Finland?
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After COVID-19 lockdowns and 2020 wildfires near his Oregon home, computational scientist Jeff Hammond decided to make big moves. In 2021, his family of five emigrated from Portland to Finland, and Jeff changed positions, leaving Intel and taking a new job with NVIDIA. Even before 2020, he had worked primarily remotely and discusses the lessons he …
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Season 2, Episode 3 -- Two PhDs + Pandemic + Baby
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Pandemic work was especially challenging for computational scientist parents, who often juggled new work arrangements while balancing their children's care. In this episode you’ll hear from a couple who were Ph.D. students and had a 10-month-old baby when lockdowns sent them all home in March 2020. The situation challenged their work and their ment…
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Season 2, Episode 2 -- Future of Work (part 2): Adapting to Change
25:29
25:29
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In Season 2 of Science in Parallel, we’re examining how pandemic shutdowns have reshaped computational science workplaces. In our last episode we focused on the effects of virtual work and how the Exascale Computing Project’s Strategies for Working Remotely panel series fostered communication and creativity. This episode brings in additional storie…
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Season 2, Episode 1 -- Future of Work (part 1): Communication Conundrum
23:10
23:10
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In our first two episodes of Science in Parallel’s Season 2, we’ll be talking about how the pandemic pivot to remote work marks a turning point in workplace structure for many computational scientists. We talk with computational scientists who worked remotely about what they struggled with, what functioned well and the lessons they’ll take into the…
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Season 1, Episode 6 -- Aurora Pribram-Jones
28:00
28:00
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Aurora Pribram-Jones works on hot, dense electrons – simulating extreme chemistry that can happen within giant planets like Jupiter or nuclear fusion experiments. Aurora’s career included many initial detours on the way to science, but the flexibility of community college classes and a job at a technical bookstore paved their path toward research. …
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Season 1, Episode 5 -- Alternative Energy
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38:15
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Avoiding the changing climate’s most extreme impacts will require a technological revolution to power daily life from renewable sources. An entrepreneur, an engineering professor and a DOE-laboratory materials scientist – all DOE CSGF and Massachusetts Institute of Technology alumni – discuss technical challenges from nuclear energy to heat transfe…
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Alicia Magann got her start in control systems engineering research, exploring tools for controlling large-scale chemical processes. As a Ph.D. student, she turned the dials of quantum chemistry in Herschel Rabitz’s research group at Princeton University with support from the DOE CSGF. She talks about her work on quantum algorithms, her cross-count…
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Curiosity, mentors and a summer working in concrete with his grandfather shaped Quentarius Moore’s science career studying 2-D materials. He recently completed his fourth year as a DOE CSGF recipient, while pursuing a chemistry Ph.D. at Texas A&M University. He completed both his bachelor's and master's degrees in chemistry at Jackson State Univers…
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Welcome to Science in Parallel, a new podcast about people and projects in computational science. Science in Parallel is produced by the Krell Institute, and season one celebrates the 30th anniversary of the Department of Energy Computational Science Graduate Fellowship Program.
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Season 1, Episode 2 -- Artificial Intelligence and Climate Change
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34:00
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One of today’s hottest areas of computational research could help build better solutions for one of global society’s steepest challenges. Three early career computational scientists talk about AI’s potential for understanding and predicting climate shifts, supporting strategies for incorporating renewable energy, and engineering other approaches th…
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Jeff Hittinger of Lawrence Livermore National Laboratory embodies the term scientist-chimera. He talks about the many scientific hats he’s worn simultaneously – computer scientist, applied mathematician and physicist. As director for the Center for Applied Computing (CASC) and as co-principal investigator for the DOE CSGF, he wears many more. He ta…
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