DOE CSGF Selects 26 Fellows for 2020-21
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) will welcome 26 new students this fall, each aiming to apply high-performance computing to research in fields ranging from plasma physics to plant biology.
The program, established in 1991, trains top leaders in computational science. With the 2020-21 class, more than 500 students will have entered the fellowship. More than 400 have gone on to support computing's capacity to address problems important to the nation’s future.
Here are the newest fellows, their institutions and subject areas:
| Alexandra Baumgart California Institute of Technology Mechanical Engineering Marc Davis Massachusetts Institute of Technology Computer Science Emily de Jong California Institute of Technology Mechanical Engineering Anthony Degleris Massachusetts Institute of Technology Electrical Engineering Ian DesJardin University of Maryland, College Park Aerospace Engineering Kiran Eiden University of California, Berkeley Astrophysics Ethan Epperly California Institute of Technology Applied and Computational Mathematics Margot Fitz Axen University of Texas at Austin Astronomy Grant Johnson Princeton University Plasma Physics Ariel Kellison Cornell University Computer Science Nikita Kozak Stanford University Mechanical Engineering Mary-Francis LaPorte University of California, Davis Plant Biology Nishad Maskara Harvard University Physics |
Kaishu Mason University of Pennsylvania Statistics Albert Musaelian Harvard University Applied Mathematics Laura Nichols Vanderbilt University Computational Solid State Physics Graham Pash University of Texas at Austin Computational Science, Engineering & Mathematics Danilo Perez Jr. New York University Neural Science Justin Porter Rice University Mechanical Engineering Luis Rangel DaCosta University of California, Berkeley Materials Science Rachel Robey University of Colorado Boulder Applied Mathematics David Rogers Stanford University Earth System Science Benjamin Sepanski University of Texas at Austin Computer Science Ellis Torrance University of North Carolina, Greensboro Environmental Health Science Margaret Trautner California Institute of Technology Computing and Mathematical Sciences Santiago Vargas University of California, Los Angeles Theoretical and Computational Chemistry |
The DOE CSGF includes a track for those pursuing an advanced degree in applied mathematics, statistics or computer science with research interests that help use emerging high-performance systems more effectively. Students focused on issues in high-performance computing as a broad enabling technology and not on a particular science or engineering application are included.
As part of the program, fellows receive exceptional benefits including a yearly stipend; full payment of university tuition and required fees (during the appointment period); and an annual academic allowance. Renewable for up to four years, the fellowship is guided by a comprehensive program of study that requires focused coursework in the areas of science/engineering, computer science and applied mathematics. It also includes a three-month practicum at one of 21 Department of Energy laboratories or sites across the country.
Additional details for each fellow will be available via the program's online fellow directory on or after September 1, 2020. Meanwhile, please contact us for further information.