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Carry the Two · Sep 11, 2025 · 47 min

Emerging Technologies Episode 4: Materials Science

Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. In this season of Carry the Two we are going to be examining how math and stats is helping scientists, engineers, and industry develop new and emerging technologies. Our first episode is all about Computation Medicine. Hosts Sam Hansen and Sadie Witkowski are joined by Danny Perez, a staff scientist at Los Alamos National Lab in New Mexico, Logan Ward, a PhD computational scientist, and Jason Hattrick-Simpers, a professor of material science and engineering at the University of Toronto and a research scientist at Natural Resources Canada, CMAT Materials. Find our transcript here: Google Doc or .txt file Curious to learn more? Check out these additional links: Diverse data generation for machine learning potentials The Importance of Publishing Everything, and How MDF Can Help Understanding and Mitigating Bias in Autonomous Materials Characterization and Discovery Follow more of IMSI’s work: www.IMSI.institute, (bluesky) IMSI.institute (instagram) IMSI.institute Music by Blue Dot Sessions The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348

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transcript

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show notes

Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. In this season of Carry the Two we are going to be examining how math and stats is helping scientists, engineers, and industry develop new and emerging technologies. Our first episode is all about Computation Medicine. Hosts Sam Hansen and Sadie Witkowski are joined by Danny Perez, a staff scientist at Los Alamos National Lab in New Mexico, Logan Ward, a PhD computational scientist, and Jason Hattrick-Simpers, a professor of material science and engineering at the University of Toronto and a research scientist at Natural Resources Canada, CMAT Materials.

Find our transcript here: Google Doc or .txt file

Curious to learn more? Check out these additional links:

Diverse data generation for machine learning potentials

The Importance of Publishing Everything, and How MDF Can Help

Understanding and Mitigating Bias in Autonomous Materials Characterization and Discovery

Follow more of IMSI’s work: www.IMSI.institute, (bluesky) IMSI.institute (instagram) IMSI.institute

Music by Blue Dot Sessions

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348

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