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 that reduce carbon emissions. They also describe how AI can be misused or can perpetuate existing biases. Working at this important research interface requires broad knowledge in areas such as climate science, public policy and engineering coupled with computational science and mathematics expertise. These early career researchers talk about their approaches to bridging this gap and offer their advice on how to become a scientific integrator. You’ll meet:  is a Ph.D. student at Carnegie Mellon University, pursuing a dual degree in public policy and computer science, and a 4th year DOE CSGF recipient. She is also a co-founder and chair of the volunteer organization, , which provides resources and a community for researchers interested in applying artificial intelligence to climate challenges. Priya was named to MIT Technology Review’s . &nbsp;Read more about Priya and her work in the 2021 issue of DEIXIS.  completed a Ph.D. in geological sciences at the University of Colorado, Boulder in 2020 and works as a senior data scientist in climate analytics at McKinsey &amp; Company. Kelly was a DOE CSGF recipient from 2016 to 2020, and her graduate research was featured in . She also is profiled in the 2021 issue as one of this year’s recipients of the .  also finished his Ph.D. last year at Colorado State University studying atmospheric science and is a 4th year DOE CSGF recipient. He has founded a company, , that provides weather and climate forecasts up to a decade into the future. From the episode:  Kelly and Priya contributed to the review article: , which was published on the arXiv preprint server in 2019. In the discussion about interpretable AI, Priya mentioned an article by Cynthia Rudin: . Ben mentioned  to build faster climate change models.

Season One, Episode Two -- Artificial Intelligence and Climate Change

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  (CASC) and as co-principal investigator for the DOE CSGF, he wears many more. He talks about scientific success, leadership and the tricks he’s cultivated for communicating science to broader audiences through the . Jeff was a DOE CSGF recipient from 1996 to 2000 while earning his Ph.D. in aerospace engineering and scientific computing at the University of Michigan. He was one of the first recipients of the  and received the 2021  in Leadership, Community Building and Communication.

Season One, Episode One -- Jeff Hittinger: Leading By Example

Welcome to , 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.

Science in Parallel -- Season One Trailer

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&amp;M University. He completed both his bachelor's and master's degrees in chemistry at Jackson State University in Mississippi. Read more about Quentarius and his graduate research in the  magazine. &nbsp;

Season One, Episode Three -- Quentarius Moore

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  at Princeton University with support from the DOE CSGF. She talks about her work on quantum algorithms, her cross-country road trip from New Jersey to her practicum in California and how her dad is her scientific hero. Read more about Alicia and her work in the . &nbsp;

Season One, Episode Four -- Alicia Magann

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 transfer to hydrogen generation and the importance of choosing high-impact research problems. In addition to talking about science, engineering and computation, they highlight the need for a strong social and political movement to drive a complete overhaul of our energy infrastructure. You’ll meet: Leslie Dewan is a nuclear engineering entrepreneur and venture capitalist, who is currently the CEO of , a startup focused on radiation detection, identification and imaging.  is an MIT associate professor of mechanical engineering. What he calls his “” design could lead to a viable system for storing renewable energy for the electrical grid.  is the associate program lead for Hydrogen and Computational Energy Materials at Lawrence Livermore National Laboratory and deputy director of the .

Season One, Episode Five -- Alternative Energy

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). This conversation was recorded at the Supercomputing meeting (SC22) in Dallas in November 2022, where Margaret co-led a&nbsp;  on Ethics in High Performance Computing. We talked about that session, her pursuit of challenging computer science problems and progress for women in computing. You’ll meet: Margaret Lawson is a software engineer based in Google’s Kirkland, Washington, office. There she primarily works on cloud storage platforms. &nbsp;

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