Dr. Xun Huan

Biography

Xun (Ryan) Huan is an Associate Professor in the Department of Mechanical Engineering at the University of Michigan. He specializes in computational science and engineering, addressing complex challenges in the field of mechanical engineering through innovative approaches. His research focuses on uncertainty quantification, data-driven modeling, numerical optimization, optimal experimental design, Bayesian analysis, and machine learning. With a robust educational background from the Massachusetts Institute of Technology, where he earned both his Ph.D. in Computational Science Engineering and S.M. in Aeronautics Astronautics, and a B.A.Sc. in Engineering Science from the University of Toronto, Huan brings extensive knowledge and experience to his teaching and research. He is committed to advancing the field through rigorous experimentation and analysis, aiming to develop methodologies that enhance the understanding of mechanical systems.

Research Interests

Experience