Changxiao Cai

I am an Assistant Professor in the Department of Industrial and Operations Engineering at the University of Michigan.

Previously, I was a postdoctoral researcher at the University of Pennsylvania, advised by T. Tony Cai and Hongzhe Li. I obtained my Ph.D. in Electrical Engineering at Princeton University in 2021, advised by Yuxin Chen and H. Vincent Poor. I have also worked with Sergio Verdú at Princeton. Prior to this, I received my B.E. in Electronic Engineering from Tsinghua University in 2016.

I am broadly interested in theories and algorithms for mathematical data science, high-dimensional statistics, optimization and machine learning. More specifically, I develop algorithms to extract information from high-dimensional and structured data, and design methods for optimal data-driven decision-making. The central goal is to achieve provably optimal statistical guarantees and computational efficiency.

I am actively seeking motivated Ph.D. students for Fall 2024. Please read this for more detailed information. If you are interested in working with me, please feel free to reach out.