Yuxin Xiao is a Ph.D. student at MIT IDSS. His research focuses on developing fair and robust machine learning models that are aware of the uncertainty in structured data and generalize well out-of-distribution, with applications to the domain of healthcare. Yuxin obtained his M.S. in Machine Learning at Carnegie Mellon University and his B.S. in Computer Science and B.S. in Statistics and Mathematics at the University of Illinois at Urbana-Champaign.