About Me
My name is Xuan Bi (碧轩). I'm an Assistant Professor of Information and Decision Sciences in the Carlson School of Management, at the University of Minnesota. My research mainly focuses on the interface of Statistics, Machine Learning, and Information Systems, with a special interest in recommender systems and data privacy.
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.
Here is a copy of my CV.
Contact Information
321 19th Avenue South, 3-233
Minneapolis, MN 55455, USA
Email: xbi@umn.edu
Phone: 612-626-7813
Academic Appointments
Assistant Professor, Carlson School of Management, University of Minnesota (07/2018 -- present)
Postdoctoral Associate, Department of Biostatistics, Yale University (08/2016 -- 06/2018)
Education
Ph.D. in Statistics, University of Illinois at Urbana-Champaign, IL, USA (2011-2016)
B.S. in Mathematics, Tsinghua University, Beijing, China (2007-2011)
Research Interests
Personalization: Recommender systems, consumer acquisition, product forecasting
Data Privacy: Differential privacy, federated learning
Professional Responsibilities
Associate Editor, Journal of the American Statistical Association (01/2023 -- present)
Institute of Mathematical Statistics Program Chair for ENAR 2023
Institute of Mathematical Statistics Medallion Lecture Session Organizer for ENAR 2023
Associate Editor, International Conference on Information Systems (2021)
Honors and Awards
Outstanding Research Award, Carlson School of Management, University of Minnesota, 2022
Best Session Chair Award, INFORMS Information Systems Society, 2022
Best Reviewer Award, INFORMS Workshop on Data Science, 2021
MSBA Outstanding Teacher, Carlson School of Management, University of Minnesota, 2021
MSBA Outstanding Teacher, Carlson School of Management, University of Minnesota, 2019
MSBA Teacher of the Year, Carlson School of Management, University of Minnesota, 2019
Certificate for Outstanding Teaching (Thank a Teacher Project), Center for Educational Innovation, University of Minnesota, 2019
SLDS Conference Travel Award, the Conference on Statistical Learning and Data Science, 2016
ASA Student Paper Award, SLDS Section, ASA, 2016
Horace W. Norton Prize for outstanding thesis research (sole awardee), Department of Statistics, UIUC, 2014
Graduate College Conference Travel Award, UIUC, 2014, 2015, 2016