About Me

I am a PhD candidate in Economics at the School of Economics, Peking University, working at the intersection of macroeconomics, computational economics, and artificial intelligence — using AI to solve economic models, and putting AI agents inside economic systems.

I develop structure-informed AI solvers for dynamic economic models, embedding feasibility constraints, state transitions, discrete choices, and conditional expectations directly into neural networks and reinforcement learning, and apply them to heterogeneous-agent macroeconomics, sovereign default, and social security reform. I also build multi-agent environments to study AI diffusion, labor displacement, taxation, and monetary emergence. I will be on the 2026–2027 academic job market.