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DOE CSGF Broadens Institutional Reach With 2024-2025 Class

Location:
Ames, Iowa
Date:

A record 40 students on the path to achieving doctorates in fields that emphasize use of computing and mathematics are now being welcomed into the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program.

The 2024-2025 incoming fellows will attend 24 U.S. universities as they learn to apply high-performance computing (HPC) to research in disciplines including quantum computing, particle physics, computational chemistry, bioinformatics, climate and atmospheric sciences, and applied mathematics. New-class members earned undergraduate degrees from 36 institutions, over one-third of which were new to the DOE CSGF.

The program, established in 1991 and funded by the DOE Office of Science and National Nuclear Security Administration (NNSA), trains top leaders in computational science. As of Sept. 1, the DOE CSGF will have onboarded more than 675 students across 34 cohorts and representing a total of 84 Ph.D. institutions. More than 500 program alumni work in an expanding number of fields that support computing's capacity to address problems important to the nation’s future.

“We would like to extend a warm welcome to the new class in this unique program, which provides outstanding opportunities to students pursuing doctoral degrees in fields that use high-performance computing to solve complex science and engineering problems. Development in this area is critical to building and maintaining a strong technical and scientific workforce,” said Dr. Ceren Susut, Associate Director of DOE’s Advanced Scientific Computing Research program.

“The CSGF provides a unique opportunity for emerging leaders in high-performance computing to directly contribute to NNSA’s mission of providing a resilient Nuclear Security Enterprise for the Nation, our allies, and our partners. By better understanding the key scientific issues in HPC and the scientific underpinnings necessary to ensure a safe, secure, and reliable nuclear deterrent, CSGF remains a great investment in our mission and workforce,” adds Dr. Steve Binkley, Assistant Deputy Administrator for Research, Development, Test, and Evaluation in NNSA’s Office of Defense Programs.

The DOE CSGF’s interdisciplinary science and engineering track supports students in a range of fields, but all share a common element: applying HPC to research problems. A second track supports those studying applied mathematics, statistics, computer science, computer engineering or computational science – in one of those departments or their academic equivalent − with research interests that help scientists use emerging high-performance systems more effectively. This includes students focused on issues in HPC as a broad enabling technology rather than a particular science or engineering application. Regardless of track affiliation, fellows’ research increasingly includes elements of artificial intelligence and machine learning – uniquely positioning them to contribute to the United States’ investments in current and future computing architectures.

Fellows receive exceptional benefits, including a $45,000 yearly stipend; full payment of university tuition and required fees; 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 science and engineering, computer science, applied mathematics and HPC. It also includes a three-month practicum at one of 21 DOE laboratories or sites across the country.

The newest fellows, their institutions (UG = undergrad) and research focus are:

  • David Abadie

    Molecular Simulation/Quantum Computing

    Rensselaer Polytechnic Institute

    UG: Tulane University

  • Vaishnavi Addala

    Quantum Information Science

    Massachusetts Institute of Technology

    UG: Massachusetts Institute of Technology

  • Caira Anderson

    Applied Mathematics

    Cornell University

    UG: Smith College

  • Julian Bellavita

    Computer Science

    Cornell University

    UG: University of California, Berkeley

  • Isabel Berry

    Computational Chemistry

    Georgia Institute of Technology

    UG: Eckerd College

  • Conor Bready

    Theoretical Chemistry

    University of California, Berkeley

    UG: Furman University

  • Logan Cabral-Pelletier

    Geophysical Sciences

    University of Chicago

    UG: University of Massachusetts, Dartmouth

  • Alvaro Carbonero Gonzales

    Electrical Engineering

    Massachusetts Institute of Technology

    UG: University of Nevada, Las Vegas

  • Clement Charles

    Physics

    University of Maryland, College Park

    UG: University of the West Indies

  • Emily Chen

    Computational Materials Science

    Stanford University

    UG: University of Chicago

  • Luis de Pablo

    Computational Ecology

    University of Colorado Boulder

    UG: Amherst College

  • James Dockery

    Astronomy

    University of North Carolina at Chapel Hill

    UG: College of Charleston

  • Marissa (Mar) Dolorfino

    Bioinformatics/Computational Biology

    University of Michigan

    UG: Kalamazoo College

  • Rae Fadlovich

    Ecology and Evolutionary Biology

    University of California, Santa Cruz

    UG: Arizona State University

  • Raven Gallenstein

    Computational Chemistry

    Boston College

    UG: Texas Woman's University

  • Fred Angelo Garcia

    Astrophysics

    Columbia University

    UG: University of Maryland, College Park

  • Gabriel Guo

    Computer Science

    Stanford University

    UG: Columbia University

  • Alexia Hartzell

    Physical Chemistry

    University of Texas at Austin

    UG: University of Texas, Arlington

  • Jessica Jiang

    Physics

    California Institute of Technology

    UG: Smith College

  • Nothando Khumalo

    Theoretical Chemistry

    University of California, Los Angeles

    UG: Bowdoin College

  • Tanvi Krishnan

    Experimental Neutrino Physics

    Harvard University

    UG: Harvey Mudd College

  • Jackson Lee

    Condensed Matter Physics

    Columbia University

    UG: Rutgers University

  • Vassiliki Mancoridis

    Environmental Science

    Massachusetts Institute of Technology

    UG: Princeton University

  • Aaron Miller

    Applied Mathematics

    Harvard University

    UG: University of North Carolina

  • Grant (Cage) Mitchell

    Computational Oceanography

    Stanford University

    UG: Coastal Carolina University

  • Praneeta (Prani) Nalluri

    Applied Mathematics

    Columbia University

    UG: Rice University

  • Alex Negron

    Mathematics

    Princeton University

    UG: Illinois Institute of Technology

  • Zijian (William) Niu

    Computational and Systems Biology

    Massachusetts Institute of Technology

    UG: University of Pennsylvania

  • Ibrohim Nosirov

    Applied Mathematics

    Cornell University

    UG: Colorado School of Mines

  • Maxwell Paik

    Computer Graphics

    New York University

    UG: Northwestern University

  • Margaret Powell

    Climate and Atmospheric Sciences

    Columbia University

    UG: Harvard College

  • Cameron Rodriguez

    Engineering Mechanics

    Columbia University

    UG: University of Florida

  • Sevio Stanton

    Particle Physics

    University of Colorado Boulder

    UG: Boise State University

  • Maya Taylor

    Parallel Programming

    University of Illinois at Urbana-Champaign

    UG: Brown University

  • Anne Tumlin

    Computer Science

    Vanderbilt University

    UG: University of South Carolina

  • Jessica Williams

    Computer Science

    University of Illinois at Urbana-Champaign

    UG: Texas A&M University

  • Xiaomian Yang

    Polymer Physics

    Massachusetts Institute of Technology

    UG: Stanford University

  • William Yik

    Atmospheric Sciences

    University of Washington

    UG: Harvey Mudd College

  • Albert Zhu

    Computational Physics

    Harvard University

    UG: Harvard University

  • Sophia Zorek

    Computer Vision and Applied Probability

    Rice University

    UG: Rice University

Additional details for each fellow will be available in September via the program’s online fellow directory. Meanwhile, please contact us for further information or find the fellowship on Facebook and Twitter.