Program Overview

Dr. Xiaochuan Tian

Xiaochuan Tian is an Associate Professor in the Department of Mathematics at the University of California, San Diego. Her research focuses on mathematical modeling, applied analysis, and numerical methods for partial differential and integro-differential equations. Her current interests include nonlocal modeling, high-order and meshfree numerical schemes, asymptotically compatible and multiscale methods, as well as the emerging interface between machine learning and partial differential equations. 

Tian received her Ph.D. in Applied Mathematics from Columbia University in 2017. Prior to joining UC San Diego, she was an R.H. Bing Instructor at the University of Texas at Austin. Her work has been recognized by several prestigious honors, including the Alfred P. Sloan Research Fellowship, the NSF CAREER Award, the ICBS Frontiers of Science Award in Mathematics, and prizes from SIAM and the Association for Women in Mathematics. Her research is currently supported by NSF grants.