Jiayi Guo is a Ph.D. student in School of Operations Research and Information Engineering at Cornell University, under the supervision of Professor Adrian Lewis in the same department. Broadly conceived, his research area is optimization. Currently, his work explores different variations of iterative methods to solve continuous optimization problems on non-smooth and non-convex functions. In general, Jiayi is interested in the interplay between optimization, simulation, and numerical analysis.
Before coming to Cornell, he received his B.S. of Mathematics and B.S. of Computer Science dual degree (2012) at University of Illinois at Urbana-Champaign.