Dongbin Xiu is a Professor and Ohio Eminent Scholar in the Department of Mathematics at Ohio State. He is currently serving as the Interim Chair of the department for the 2023-2024 academic year. His research area is primarily in Scientific Computing, with focus on Uncertainty Quantification (UQ), Data Science, and Machine Learning. His work has been funded by various funding agencies including NSF, AFOSR (Air Force Office of Scientific Research), DOE (Department of Energy), US Army, DARPA, etc.
Dr. Xiu obtained his PhD from Division of Applied Mathematics at Brown University in 2004. After post-doc studies in Los Alamos National Lab, Princeton University, and Brown University, he started his career in 2005 as an Assistant Professor in the Department of Mathematics at Purdue University. In 2007 he was awarded the NSF CAREER award. He won several teaching awards at Purdue and was promoted to Associate Professor in 2009 and Professor in 2012. In 2011, he co-founded the International Journal for Uncertainty Quantification (IJUQ) and has served as its Associate Editor-In-Chief since.
In 2013, he moved to The University of Utah, as a Professor of Mathematics and also the Scientific Computing and Imaging (SCI) Institute. In 2015, he led and won a multi-university, multi-million project at DARPA on “Systematic Quantification of Uncertainty And Reliability at Extreme Scales (SQUARES)”.
After moving to OSU in 2016, he started to work on machine learning for scientific computing. In 2020, he became the founding Editor-in-Chief for Journal of Machine Learning for Modeling and Computing (JMLMC). In 2023, he was named a SIAM Fellow.
