Researchers come to the Department of Energy Computational Science Graduate Fellowship from a spectrum of backgrounds. Some may have little or no formal training in computation, but are eager to apply high-performance computing to their area of expertise, be it astrophysics, engineering or energy production. Others are steeped in computer science and mathematics and are seeking new ways to apply their skills. In these short profiles, fourth-year fellows discuss the fellowship, their research and their career goals.
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AlnurAliAlnur left a job with Microsoft to pursue machine-learning research....
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ThomasAndersonThe mathematical methods he researches can improve simulations....
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HilaryEganHer models could help determine which exoplanets are most likely to be habitable....
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KyleFelkerHe's building a computational tool to improve astrophysics models....
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MorganHammerMorgan models chemistry's fundamental interactions....
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JordanHoffmannDeveloping crickets give Jordan insights into the assembly of life....
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JulianKates-HarbeckJulian models the spread of ideas via social networks....
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AlexKellAlex uses computational models and brain scans to study how we hear....
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RyanMcKinnonRyan models tiny dust particles in giant galaxies....
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DanielleRagerDanielle’s models could have implications for brain research and robotics. ...
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AdamRiesselmanAdam's research accelerates evolution in a computer....
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AdamSealfonHis computational methods can help block adversaries....
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MukarramTahirWith models of tiny particles, he finds ways to tweak cellular processes. ...
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ThomasThompsonHis algorithms could lead to early warnings of earthquakes....
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KathleenWeichmanPlasmas fascinate Kathleen, who uses computers to predict their behavior....
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JoyYangThe video game character Pac-Man led Joy into computing....