DOE CSGF Selects 26 Fellows for 2020-21

Ames, Iowa

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

Ethan Epperly
California Institute of Technology
Applied and Computational Mathematics

Margot Fitz Axen
University of Texas at Austin

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
Kaishu Mason
University of Pennsylvania

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.