Yan Shuo Tan is a postdoctoral fellow at the UC Berkeley Foundations of Data Analysis Institute. He obtained his PhD in mathematics from the University of Michigan, where he was advised by Professor Roman Vershynin. He is interested broadly in mathematical data science, and particularly in stochastic optimization and learning theory.