Xuan Bi

Dr. Xuan Bi is an Associate Professor of Information and Decision Sciences at the Carlson School of Management at the University of Minnesota. His general research goal is to design data-driven solutions and provide decision support to benefit organizations and individuals. Dr. Xuan Bi's research mainly focuses on designing and applying statistical and machine-learning methodologies to address real-world, large-scale, business, and scientific problems. Specifically, Dr. Xuan Bi's works revolve around trustworthy machine learning, with a special interest in recommender systems and data privacy. His works have been published in leading academic journals and conferences, including Journal of the American Statistical Association, Annals of Statistics, Management Science, Information Systems Research, Journal of Machine Learning Research, INFORMS Journal on Computing, Journal of Econometrics, NeurIPS, ICML, and ICLR. And he serves as Associate Editor for the Journal of the American Statistical Association.

Dr. Xuan Bi holds a Bachelor of Science in Mathematics from Tsinghua University, and a Ph.D. in Statistics from the University of Illinois at Urbana-Champaign. During his doctoral training, Dr. Xuan Bi provided statistical consultation to over 60 clients in academia and industry, in the fields of marketing, precision medicine, finance, law, accounting, biology, engineering, operation, psychology, and sociology. Prior to joining the University of Minnesota, Dr. Xuan Bi was a Postdoctoral Associate at Yale University.