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 developing and analyzing algorithms for solving optimization, games, and equilibrium problems complicated by nonconvexity, nonmonotonicity, nonsmoothness, and stochasticity, arising in power systems and markets, network models, and machine learning. 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