Dongbin Xiu

Professor Dongbin Xiu is a faculty member at The Ohio State University's Department of Mathematics, holding the position of Ohio Eminent Scholar. Previously, he has served at institutions such as the University of Utah and Purdue University. His research focuses on stochastic computations, uncertainty quantification, high-order numerical methods, and data assimilation.

Dr. Xiu earned his Ph.D. in Applied Mathematics from Brown University, followed by M.S. and B.S. degrees in Mechanical Engineering and Mechanics. His work is supported by grants from NSF, AFOSR, DOE, and DARPA. He has authored a notable book on numerical methods for stochastic computations and holds several awards, including the NSF CAREER Award and Purdue University's Teaching for Tomorrow Award.

His publications emphasize innovative approaches in uncertainty quantification, including stochastic collocation methods, polynomial chaos, and machine learning integration. He serves on editorial boards of journals such as the SIAM Journal on Scientific Computing and the International Journal for Uncertainty Quantification.