The program, established in 1991 and funded by the DOE’s Office of Science and the National Nuclear Security Administration’s Office of Defense Programs, trains top leaders in computational science. Nearly half of the new fellows are women and a similar proportion are members of an underrepresented group.
With the addition of the 2022-23 class, nearly 600 students will have entered the fellowship. More than 450 graduates (alumni) 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:*
- Daniel Abdulah − Massachusetts Institute of Technology (Planetary Science)
- Caleb Adams − University of Texas at Austin (Ecohydrology)
- Christopher Anderson − University of Washington (Ecology)
- Elizabeth Bennewitz − University of Maryland College Park (Physics)
- Lucy Brown − Stanford University (Fluid Mechanics)
- Jackson Burns − Massachusetts Institute of Technology (Computational Science and Engineering)
- Nina Cao − Massachusetts Institute of Technology (Mechanical Engineering)
- Ashlynn Crisp − Portland State University (Mathematical Sciences)
- Grady Daniels − Massachusetts Institute of Technology (Statistics)
- Zachary Espinosa − University of Washington (Polar Climates and Sea Ice)
- Otto Fajen − Stanford University (Computational Chemistry)
- Joshua Fernandes − University of California, Berkeley (Chemical Engineering)
- Nina Filippova − University of Texas at Austin (Computational Astrophysics)
- Thomas Gade Jr. − University of Minnesota (Plasma Physics)
- Mary Gerhardinger − University of Pennsylvania (Natural Science)
- Gil Goldshlager − University of California, Berkeley (Applied Mathematics)
- McKenzie Hagen − University of Washington (Psychology)
- Michael Ito − University of Michigan (Computer Science)
- Alexander Johnson − Harvard University (Gravitational Physics)
- Katherine Keegan − Emory University (Computational Mathematics)
- McKenzie Larson − University of Colorado Boulder (Synoptic Meteorology)
- Jerry Liu − Stanford University (Computer Science)
- Kerri Lu − Massachusetts Institute of Technology (Computer Science)
- Storm Mata − Massachusetts Institute of Technology (Wind Energy and Atmospheric Boundary Layer Physics)
- Tristan Maxson − University of Alabama (Computational Chemistry/Catalysis)
- Franz O’Meally − California Institute of Technology (Engineering)
- Antonia Oprescu − Cornell University (Computer Science)
- Mansi Sakarvadia − University of Chicago (Computer Science)
- Carlyn Schmidgall − University of Washington (Physical Oceanography)
- Michael Tynes − University of Chicago (Computer Science)
- Grace Wei − University of California, Berkeley (Computational Materials Science)
- Emily Williams − Massachusetts Institute of Technology (Aeronautics and Astronautics)
- Joel Ye − Carnegie Mellon University (Computational Neuroscience)
“[The] Office of Science is proud to support the training of a diverse and accomplished group of students to become leaders among the next generation of computational scientists,” said Barbara Helland, DOE Associate Director of Science for Advanced Scientific Computing Research. “As evidenced by the success of the current CSGF alumni, the new fellows’ research will advance efforts in a wide range of science and engineering topics that benefit Administration priorities and the American people.”
“This work will expand our understanding of key scientific principles in focused research areas that are fundamental to the nuclear deterrent and will ensure a pipeline of highly-trained scientists and technicians to support the future deterrent,” said Dr. Mark Anderson, Assistant Deputy Administrator for Research, Development, Test, and Evaluation in NNSA’s Office of Defense Programs.
The DOE CSGF also includes a separate 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.
* Academic institutions and fields of study reported as of release date; subject to change.
Source: Department of Energy Computational Science Graduate Fellowship (DOE CSGF)