DOE CSGF Chooses a Record 32 New Fellows for 2021-22
A record-setting class of 32 fellows will join the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) this fall as they train to apply high-performance computing to research across a range of fields, from atmospheric science to condensed matter physics and quantum information.
The program, established in 1991, trains top leaders in computational science. Half of the new fellows self-identify as women and almost half self-identify as a member of an underrepresented group.
With the 2021-22 class, more than 550 students will have entered the fellowship. More than 400 now work in fields that support computing's capacity to address problems important to the nation’s future.
Here are the newest fellows, their institutions and subject areas:
| Jezrielle Annis Texas A&M University Physical Chemistry Olivia Asher University of Georgia Bioinformatics Lucas Attia Massachusetts Institute of Technology Chemical Engineering Alexandra Ballow Montana State University Algebra and Quantum Mechanics Zoe Barbeau Stanford University Engineering Bryn Barker University of North Carolina at Chapel Hill Applied Mathematics Paul Beckman New York University Mathematics Vivek Bharadwaj University of California, Berkeley HPC/Scientific Computing Marianne Cowherd University of California, Berkeley Ecosystem Sciences Ishani Ganguly Columbia University Theoretical Neuroscience Krystian Ganko Massachusetts Institute of Technology Chemical Engineering Souradip Ghosh Carnegie Mellon University Computer Science Juan (Felipe) Gomez Harvard University Condensed Matter Theory Jalen Harris Cornell University Materials Science and Engineering Bowen Jing Massachusetts Institute of Technology Computer Science Gabrielle Jones University of Michigan Engineering |
Caleb Ju Georgia Institute of Technology Computational Science and Engineering Olorundamilola (Dami) Kazeem Johns Hopkins University Computational Linguistics Madeleine Kerr University of California, San Diego Geophysics Joy Kitson University of Maryland, College Park Computer Science Nicole Pagane Massachusetts Institute of Technology Computational and Systems Biology Shehan Parmar University of California, Los Angeles Aerospace Engineering Abigail Poteshman University of Chicago Computational and Applied Mathematics Sonia Reilly New York University Mathematics Paulina Rodriguez The George Washington University Mechanical Engineering Rahul Sahay Harvard University Physics Courtney Shafer University at Buffalo Geological Sciences Timothy (Joey) Taylor University of Colorado at Boulder Atmospheric Science Samuel Varner California Institute of Technology Chemical Engineering Julia Wei University of California, Berkeley Condensed Matter Physics, Quantum Information Steven Wilson Arizona State University Chemical Engineering Victor Zendejas Lopez California Institute of Technology Mechanical Engineering |
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 and 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 in September. Meanwhile, please contact us for further information.