My research bridges theory and practice by developing models of strategic interaction that better capture real-world behavior. My goal is to translate research into insights that inform real-world practice and policy. I combine tools from causal inference, economic theory, reinforcement learning, and agent-based modeling to study how boundedly rational agents learn and interact in multi-agent settings. Currently, I am interested in applying these tools to questions in labor economics.
I am currently pursuing a Ph.D. in Economics at the University of Washington, mainly advised by Prof. Rachel Heath, Prof. Natasha Jaques, and Prof. Yanzhen Chen (Hong Kong University of Science and Technology).
I earned my Master’s degree in Public Policy from the Hong Kong University of Science and Technology and my Bachelor’s degree in Economics from Jiangnan University. I feel especially fortunate to have studied at HKUST, where I developed strong research skills and received invaluable guidance from professors who supported me both academically and personally.
I am a proud first-generation college student.
My mom and I have participated in TNR (Trap–Neuter–Return) efforts and helped neuter and feed 7 stray cats in my hometown.
