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Victor Fung comes from Georgia Tech Oak Ridge National Laboratory where he was an Eugene P. Wigner Fellow working at the Center for Nanophase Materials Sciences (CNMS). He obtained a B.A. in Chemistry from Cornell University and a Ph.D. in Chemistry from the University of California, Riverside. His research seeks to harness the power of computing and machine learning to accelerate the chemical discovery process, with the eventual goal of fully realizing materials inverse design. This includes developing novel methods and tools to incorporate chemical information to model phenomena at the atomic scale, and to design new materials from the ground up, atom-by-atom. His work also involves establishing automated, data-driven, domain-informed ecosystems for materials chemical discovery that are deployed on the latest supercomputers.
Department of Computer Science: GRE scores are optional for Fall 2026.