Jonah Miller got his PhD at the Perimeter Institute for Thoeretical Physics and the University of Guelph in numerical relativity, working with Erik Schnetter. He is now a scientist at Los Alamos National Laboratory, where he uses big computers to solve hard problems. His research touches a wide variety of topics, including: numerical methods and algorithms for emerging architectures, machine learning, neutrino and nuclear astrophysics, and simulations of compact objects, neutron star mergers, gamma ray bursts, and core collapse supernovae. In his spare time, he loves to hike, ski, play board games, and play with his cats.
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