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Season 2, Episode 3 -- Two PhDs + Pandemic + Baby

Season 2, Episode 3 -- Two PhDs + Pandemic + Baby

FromScience in Parallel


Season 2, Episode 3 -- Two PhDs + Pandemic + Baby

FromScience in Parallel

ratings:
Length:
35 minutes
Released:
Jun 22, 2022
Format:
Podcast episode

Description

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 mental health. As they adapted to these experiences, they changed career paths and their perspectives on life and work. You’ll meet: Kalin Kiesling is a nuclear engineer in the nuclear science and engineering division at Argonne National Laboratory. Her work focuses on the development of computational tools used to design the next generation of nuclear reactors. Prior to joining Argonne, Kalin earned her Ph.D., M.S., and B.S. in nuclear engineering and engineering physics from the University of Wisconsin-Madison. Brian Cornille is a member of technical staff at Advanced Micro Devices. He works on porting and performance optimization of scientific applications targeting AMD platforms, such as Frontier at Oak Ridge National Laboratory and the upcoming El Capitan at Lawrence Livermore National Laboratory. Brian was a DOE CSGF recipient from 2016 to 2020 and completed both a B.S. and Ph.D. in nuclear engineering and engineering physics at the University of Wisconsin-Madison.
Released:
Jun 22, 2022
Format:
Podcast episode

Titles in the series (22)

Computers and science are intertwined – and not just as tools that help humans connect and collaborate. With computers, scientists model the earth’s climate, design alternative energy strategies and simulate exploding stars. From laptops to the world’s fastest supercomputers, software innovations and artificial intelligence are reshaping how we interact with mounds of data from healthcare to high-energy physics and how we solve critical problems. Computational science brings together mathematics, computer science and hardware and science expertise to take on these challenges. In this podcast, you’ll meet the scientists doing this work, learn more about their research and gain insights into the workings of this dynamic field.