May 11, 2021 — 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. 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:
Texas A&M University
Juan (Felipe) Gomez
Georgia Institute of Technology
Computational Science and Engineering
Olorundamilola (Dami) Kazeem
Timothy (Joey) Taylor
Victor Zendejas Lopez
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.
Source: DOE CSGF
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