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Katherine (Katie) Keegan, an Emory University DOE CSGF recipient, ratchets up mathematical rigor to boost confidence in scientific generative AI.

Jerry Liu, a Stanford University DOE CSGF recipient, attempts to move machine learning from pattern recognition to scientific reasoning.

Anna Erickson leads a multi-institutional consortium for nonproliferation research and provides expert analysis for media outlets.

Nina Filippova, a University of Texas at Austin DOE CSGF recipient, performs supercomputer simulations to understand how protostellar disks of gas and dust form around young stars.

Miruna Oprescu, a Cornell University DOE CSGF recipient, develops strategies to extract more than correlations from algorithms’ predictions.

Tristan Maxon, a University of Alabama DOE CSGF recipient, shows that AI models learn to simulate atomic interactions.

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.

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.