Bryce Fore is a Postdoctoral Researcher at the ALCF whose work focuses on nuclear theory and dense astrophysical matter, particularly neutron stars. His current work focuses on using quantum Monte Carlo techniques with artificial neural network wavefunction ansatz to model strongly interacting systems and he is a primary developer of a neural-network quantum state code used to simulate many-body physics problems. His earlier research has addressed pion contributions to the dense-matter nuclear equation of state, neutrino propagation, and axion production. Bryce received a bachelor degree in physics from the University of Illinois at Urbana-Champaign and a Ph.D in Nuclear Astrophysics from the University of Washington.