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Research Papers

Grounded in first principles, my research develops algorithmic solutions for complex social systems at the intersection of artificial intelligence, economics, and statistics. One line of my research develops time-domain and frequency-domain approaches to dynamic equilibrium models with strategic agents. Another line develops Bayesian methods for estimating large-scale structural models. These tools are applied to study economic policy, asset prices, and social networks. Recently, I like to train neural nets regularized by economic theory. My previous research studies the evolution of cooperative and altruistic human behavior.

Machine Learning

Game Theory

Macroeconomics

Bayesian Statistics

Space Economy

  • The Space-AI Convergence: Why Every Company Needs an Orbital Strategy, with Xiao Zhang, manuscript, 2025

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