Xuan Bi

Dr. Xuan Bi is an Associate Professor of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. His research aims to design data-driven solutions that benefit organizations and individuals. Dr. Xuan Bi's work centers on developing and applying statistical machine learning methods and AI technologies to address large-scale, real-world business and scientific problems. His research interests lie broadly in trustworthy machine learning and AI, with a particular focus on data privacy, watermarking, retrieval-augmented generation, adversarial learning, and recommender systems. 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.