I am a Ph.D. candidate in Management (with a focus on Marketing) at MIT Sloan School of Management, where I am fortunate to be advised by Prof. Juanjuan Zhang.

My research focuses on developing theory-grounded, scalable solutions to real-world problems. It spans several interconnected areas, including market design, experimentation, and network inference. Methodologically, I combine machine learning, economic theory, and statistical methods.

My work has been tested and deployed in the field. Major deployments to date include (1) the default content recommender system for Tencent WeChat and (2) the default creator valuation system for WeChat.

My research has been recognized with honors including the Sheth Foundation ISMS Doctoral Dissertation Award and the American Marketing Association TechSIG Doctoral Student Award.

I have worked as a Machine Learning Research Intern at Tencent America. Before MIT, I earned an M.A. in Economics, a B.S. in Information Management and Information Systems, and a B.A. in Law, all from Tsinghua University.