I will join the School of Industrial Engineering at Purdue University as an assistant professor in fall 2024. Motivated by real-world challenges and limitations, my research interest is broadly in the development of theoretical foundations of sequential decision-making under uncertainty. More specifically, I am focusing on designing data-efficient (multi-agent) reinforcement learning algorithms that are substantiated with theoretical guarantees. Here is my CV.

Currently, I am a CMI postdoctoral fellow in The Computing and Mathematical Sciences (CMS) Department of Caltech, hosted by Dr. Adam Wierman and Dr. Eric Mazumdar. Notably, I have been honored as a recipient of the Simoudis Discovery Prize and was named a PIMCO Postdoctoral Fellow in Data Science in the year 2022.

I obtained a Ph.D. in Machine Learning, an M.S. in Mathematics, and an M.S. in Operations Research, all from Georgia Tech, where I was advised by Dr. Siva Theja Maguluri and Dr. John-Paul Clarke. My Ph.D. thesis won the Sigma Xi Best Ph.D. Thesis Award, and was selected as a runner-up for the 2022 SIGMETRICS Doctoral Dissertation Award. During my Ph.D., I received the ARC-TRIAD Student Fellowship in 2021 and the IDEaS-TRIAD Research Scholarship in 2020. Before that, I obtained my B.S. in Electrical Engineering at Chu Kochen Honors College, Zhejiang University.