CSGF Welcomes 2018-2019 Incoming Class of 25
The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) was established in 1991 to train and produce the country's next generation of leaders in computational science. More than 450 students have been named fellows in the time since, each a representative for computing's capacity to advance science across a variety of disciplines.
Twenty-five awardees — the fellowship's twenty-eighth incoming class — will begin their studies this fall:
| Christiane Adcock Stanford University Computational and Mathematical Engineering Sydney Andrews Stony Brook University Astrophysics Kaley Brauer Massachusetts Institute of Technology Astrophysics Jacob Bringewatt University of Maryland, College Park Physics Kimberly Cushman Yale University Physics Justin Finkel University of Chicago Computational and Applied Mathematics Ryder Fox University of Miami Meteorology and Physical Oceanography Steven Fromm Michigan State University Physics Sarah Greer Massachusetts Institute of Technology Mathematics and Computational Science Olivia Hull Kansas State University Physical Chemistry Edward Hutter University of Illinois at Urbana-Champaign Computer Science Dipti Jasrasaria University of California, Berkeley Chemistry (Physical - Theory) K. Grace Johnson Stanford University Chemical Physics |
Logan Kunka Texas A&M University Aerospace Engineering William Moses Massachusetts Institute of Technology Computer Science Samuel Olivier University of California, Berkeley Nuclear Engineering Melissa Queen University of Washington Information Theory Jesse Rodriguez Stanford University Plasma Physics Lawrence Roy Oregon State University Computer Graphics Steven Stetzler University of Washington Astronomy James Sullivan University of California, Berkeley Astrophysics Anda Trifan University of Illinois at Urbana-Champaign Theoretical and Computational Biophysics Michael Tucker University of Hawaii Astronomy Caitlin Whitter Purdue University Computer Science Paul Zhang Massachusetts Institute of Technology Geometric Data Processing |
For the first time, 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 in this class.
As part of the program, these individuals 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, 2018. Meanwhile, please contact us for further information.