Dr. Ming Chen

Biography

Professor Ming Chen is an Assistant Professor in the Department of Chemistry at Purdue University. His research integrates theoretical chemistry with data science methodologies to tackle challenges in computational chemistry and machine learning techniques. His work emphasizes understanding biomolecular conformational dynamics, modeling electronic structures of complex materials, and conducting molecular dynamics simulations that explore protein folding, drug binding, and protein-protein interactions. Recognizing the limitations of traditional molecular dynamics simulations, Professor Chen is developing machine learning-based enhanced sampling methods and coarse-grained models to overcome these obstacles. His innovative approaches in stochastic electronic structure methods aim to reduce computational costs and improve efficiency in the evaluation of physical properties. Professor Chen's educational background includes a B.S. from Peking University, a Ph.D. from New York University, and postdoctoral fellowships at the University of California, Berkeley and Lawrence Berkeley National Laboratory.

Research Interests