About Me

My name is Xuan Bi (碧轩). I'm an Associate Professor of Information and Decision Sciences at the Carlson School of Management, University of Minnesota, an affiliate faculty at the School of Statistics, and a core member of the Data Science and AI Hub. My work centers on designing and applying statistical machine learning methods and AI technologies to address large-scale, real-world business and scientific problems. Specifically, my research interests lie broadly in trustworthy machine learning and AI, with a particular focus on data and AI privacy, watermarking, and decentralization.

Before joining Carlson, I was a Postdoctoral Associate in the Department of Biostatistics at Yale University under the supervision of Prof. Heping Zhang. My work at Yale revolved around imaging genetics. I got my Ph.D. in Statistics from the University of Illinois at Urbana-Champaign, and my advisor was Prof. Annie Qu. My thesis research mainly focused on dimension reduction and recommender systems.

I was born and raised in Beijing, China, where I did my schooling in the Capital Normal University High School, and earned a B.S. in Mathematics from Tsinghua University.

My research has been supported by the National Science Foundation and Cisco Systems, Inc., for which I am deeply grateful.

Here is a copy of my CV.