Dr. Henry K. Tran is a theoretical and computational chemist whose research focuses on predictive methods for electron-phonon dynamics in molecular and materials systems, with applications in quantum information science, clean energy, catalysis, and functional materials. His work combines quantum embedding, machine learning, tensor network methods, and high-level electronic structure theory. Dr. Tran earned his Ph.D. in Chemistry from the Massachusetts Institute of Technology, an M.Phil. in Scientific Computing from the University of Cambridge, and a B.S. in Mathematics and Chemistry from The Ohio State University.