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 research mainly focuses on designing and applying statistical and machine-learning methodologies to address real-world, large-scale, business, and scientific problems. Specifically, my works revolve around personalization, data ethics, and AI trustworthiness.

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.