I am Zhuoyu Xiao (肖卓宇), a Ph.D. student in Operations Research at University of Michigan, where I am fortunate to be advised by Professor Uday V. Shanbhag.

Before transferring to UMich with my advisor, I spent two years at The Pennsylvania State University. Prior to that, I received my B.S. (Honours) in Mathematics from Jinan University in 2020 and an M.Phil. in Mathematics from University of Victoria in 2022, where I was fortunate to be advised by Professor Jane J. Ye.

Research Interests

My research interests focus on the development and analysis of algorithms for solving optimization problems/games complicated by nonconvexity, nonmonotonicity, nonsmoothness, and stochasticity. The techniques I use draw from a variety of fields including probability theory, modern optimization, variational analysis, and variational inequalities. In my research, I frequently use the following monographs:

1. First-Order Methods in Optimization (Beck).
2. Modern Nonconvex Nondifferentiable Optimization (Cui and Pang).
3. Lectures on Stochastic Programming: Modeling and Theory (Shapiro, Dentcheva, and Ruszczynski).
4. Finite-Dimensional Variational Inequalities and Complementarity Problems (Facchinei and Pang).
5. Variational Analysis (Rockafellar and Wets).

Contact Info

Email: zyxiao AT umich DOT edu