CSGF Application Q&A Webinar Recording Now Available
The DOE CSGF's program manager hosted an application webinar and Q&A for the 2026-27 recruitment cycle on Dec. 3, 2025. A recording of the session is now available.
The DOE CSGF's program manager hosted an application webinar and Q&A for the 2026-27 recruitment cycle on Dec. 3, 2025. A recording of the session is now available.
Daniel Abdulah, a Massachusetts Institute of Technology DOE CSGF recipient, works at the intersection of fluid dynamics, planetary science and high-performance computing.
Carlyn Schmidgall, a University of Washington DOE CSGF receipient, learns about oceans, combining observation with large-scale simulations.
DOE CSGF applications are being accepted through Jan. 15, 2026. Candidates must be U.S. citizens or lawful permanent residents who plan full-time, uninterrupted study toward a Ph.D. at an accredited U.S. university.
Kyle Felker, an Argonne National Laboratory computational scientist and DOE CSGF alumnus, helps himself and others to research on the lab's Aurora supercomputer.
Madeleine Kerr, a University of California, San Diego DOE CSGF recipient, employs a geodynamic model to answer stubborn questions about Venus’ surface.
Joy Kitson, a University of Maryland DOE CSGF recipient, models how infectious disease moves through populations — incorporating increasingly realistic information about populations and human behavior.
Notable DOE CSGF alumna Amanda Randles models blood circulation — and is a role model for beginning scientists. Her Duke team continues to improve and expand her model’s biomedical uses, which include building digital twins, or computational copies, of patients’ circulatory systems and studying how metastasizing cancer cells travel through the bloodstream.
Ishani Ganguly, a Columbia University DOE CSGF recipient, creates models of the neuronal connections in the fruit fly brain that support learning. The work could also help researchers understand similar circuits and processes in humans and other complex organisms.
Sonia Reilly, a New York University DOE CSGF recipient, accelerates algorithms that run vital processes backward. She starts with the answer and then estimates the values of the parameters.