Twenty-nine new Ph.D. students will apply high-performance computing to accelerate discoveries in AI, quantum science and engineering, physics and advanced materials.
Ashlynn Crisp, a Portland State University DOE CSGF recipient, builds statistical tools that can sift useful signals.
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.