Hung Le received his Ph.D. in Computational Chemistry at Oklahoma State University under the supervision of Dr. Lionel Raff. He is interested in first-principles methods, molecular dynamics, deep learning, and using DFT-based calculations to predict material properties. He is also interested in neural network training algorithms, especially ones that involve gradient training. He has published more than 40 papers in peer-reviewed journals about his research. Hung joined UTSW in September 2021, and looks forward to helping the research community with his expertise.