Class of 26 Fellows Joins DOE CSGF

Ames, Iowa
Thursday, May 2, 2019

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

Kyle Bushick
University of Michigan
Engineering/Physical Sciences

Lindsey Byrne
Northwestern University

Madelyn Cain
Harvard University
Condensed Matter Physics

Gabriel Casabona
Northwestern University
Computational Astrophysics

Scott Emmons
University of California, Berkeley
Computer Science

Nicholas Ezzell
University of Southern California

Koby Hayashi
Georgia Institute of Technology
Computer Science

Louis Jenkins
University of Rochester
Computer Science

Christopher Kane
University of Arizona

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

John 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 Turner
University of Wisconsin-Madison

Amalee Wilson
Stanford University
Computer Science

Boyan Xu
University of California, Berkeley
Computational Topology

Claire Zarakas
University of Washington
Atmospheric Sciences

Lauren Zundel
University of New Mexico

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.