Xun Huan, PhD
Dr. Xun Huan is an Assistant Professor of Mechanical Engineering at the University of Michigan, where he leads the Uncertainty Quantification and Scientific Machine Learning Group. He is affiliated with the Michigan Institute for Computational Discovery and Engineering (MICDE) and Michigan Institute for Data Science (MIDAS). Dr. Huan received a B.A.Sc. (Engineering Science–Aerospace) from the University of Toronto, a S.M (Aerospace Engineering) and Ph.D. (Computational Science and Engineering) from MIT, and was a postdoctoral researcher at MIT and Sandia National Laboratories. His research interests include optimal experimental design, Bayesian analysis, reinforcement learning, and physics-aware data-driven modeling.