About

I am a Ph.D. student in Information Systems at the Michael G. Foster School of Business, University of Washington. I’m fortunate to work under the supervision of Professor Yong Tan.

My research commences with the modeling of participant behavior encompassing search, “computation”, and decision-making processes, alongside examining market-level dynamics in (digital) two-sided markets and communities. Leveraging the gleaned insights, the overarching aim is to augment AI systems, refine market designs, and inform policy regulations to maximize welfare quantity and ensure its equitable distribution among stakeholders, with a particular focus on pivotal sectors such as labor, education, creativity/innovation, and finance. Methodologically, I leverage econometric/statistical analyses (including structural models), analytical models, field/lab experiments, and machine learning/deep learning (recently large language models and reinforcement learning) to conduct design, analyze data, infer causality, and optimize policies.

I also enjoy collaborating with various enterprises to address real-world challenges. I am fortunate to cook cool stuff with industry teams about AI for education, productivity-enhancing LLMs, FinTech, and matching.

Before my Ph.D. career, I studied Information Management and Information Systems at the School of Economics and Management, Tsinghua University. I was glad to cultivate research skills under the guidance of Professor Kevin Hong and Professor Bo Li during that period. I was also fortunate to have the chance to participate in the weekly seminar led by Professor Guoqing Chen, Professor Xunhua Guo, and Professor Qiang Wei.