DOE CSGF Broadens Institutional Reach With 2024-2025 Class
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 Facebookand Twitter.