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Tom Abel is a Professor of Particle Physics and Astrophysics at Stanford University, leading a research group that explores cosmic history through advanced supercomputer simulations. His work has pioneered novel numerical algorithms to model the formation of stars and galaxies, employing adaptive-mesh-refinement simulations to capture a vast range of scales in length and time. Abel's recent research focuses on creating digital twins of astronomical objects to better understand the universe's ongoing evolution and utilizes machine learning and artificial intelligence to interpret complex cosmic data. In previous roles, he served as the Director of the Kavli Institute for Particle Astrophysics and Cosmology and has held professorships at institutions including the Pennsylvania State University and the University of Heidelberg. He has received multiple accolades for his contributions to science, including the Lagrange Prize and the NSF Career Award.
Stanford University • Menlo Park, California
Professor of Particle Physics and Astrophysics.
Kavli Institute for Particle Astrophysics and Cosmology • Menlo Park, California
Led research initiatives in astrophysics and cosmology.
Pennsylvania State University • University Park, Pennsylvania
Served in the Department of Astronomy and Astrophysics.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.