Class of 26 Fellows Joins DOE CSGF
A new class of 26 Department of Energy Computational Science Graduate Fellowship (DOE CSGF) recipients will join the program in 2019, studying a broad range of subjects including chemical engineering, astronomy, computer science and computational materials science.
The DOE CSGF, established in 1991, trains and produces the country's next generation of leaders in computational science. Nearly 500 students have entered the fellowship, going on to support computing's capacity to advance science.
Here are the newest fellows, their institutions and subject areas:
| Christopher Balzer California Institute of Technology Chemical Engineering Thomas Blommel University of Michigan Physics Kyle Bushick University of Michigan Materials Science Lindsey Byrne Northwestern University Astronomy Madelyn Cain Harvard University Physics Gabriel Casabona Northwestern University Computational Astrophysics Scott Emmons University of California, Berkeley Computer Science Nicholas Ezzell University of Southern California Physics Koby Hayashi Georgia Institute of Technology Computer Science Louis Jenkins University of Rochester Computer Science Christopher Kane University of Arizona Physics Arianna Krinos Massachusetts Institute of Technology Biological Oceanography Peter Lalor Massachusetts Institute of Technology Nuclear Engineering |
Margaret Lawson University of Illinois at Urbana-Champaign Computer Science Kyle Lennon Massachusetts Institute of Technology Chemical Engineering Jack Lindsey Columbia University Computational Neuroscience Rebekah Loving California Institute of Technology Computational Biology Cole Miles Cornell University Theoretical Condensed Matter Guy Moore University of California, Berkeley Materials Science and Engineering Jamin Rader Colorado State University Climate Dynamics Michael Toriyama Northwestern University Computational Materials Science Jason Torchinsky University of Wisconsin-Madison Mathematics Amalee Wilson Stanford University Computer Science Boyan Xu University of California, Berkeley Computational Topology Claire Zarakas University of Washington Biosphere-Atmosphere Interactions Lauren Zundel University of New Mexico Physics |
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, 2019. Meanwhile, please contact us for further information.