Jay Lu

Jay Lu is an Associate Professor of Economics at the University of California, Los Angeles (UCLA), affiliated with the Department of Economics within the School of Humanities and Social Sciences. His research focuses on economic theory, behavioral economics, decision theory, and information economics. He holds a Ph.D. from Princeton University. Key contributions include work on stochastic intertemporal preferences, algorithmic fairness, and Bayesian identification frameworks. His publications appear in top journals like the American Economic Review and Econometrica.

Research interests span applied economic theory, game theory, and microeconomic theory with applications to social welfare analysis and algorithmic decision-making. Notable themes in his work include fairness-accuracy trade-offs in algorithms, random utility models, and preference modeling under uncertainty.

His articles explore intersections between economics and computer science, such as fairness in AI systems and competitive information disclosure in markets. Jay's work bridges theoretical models with empirical observations, contributing to both foundational theory and practical policy implications.

Currently based at Bunche Hall, UCLA, he maintains an active research agenda with a personal website detailing his academic contributions and CV available for review.