Summary
Wenlan Luo is an associate professor at Tsinghua University with 13 years of experience applying empirical and computational methods to study consumer behavior, credit markets, and pricing in dynamic stochastic environments. Trained at Georgetown (Ph.D.) and Tsinghua (dual BAs in Economics & Finance and Pure & Applied Mathematics), she blends rigorous identification with large-scale computation—dynamic programming, Monte Carlo simulation, and structural estimation—to extract policy-relevant insights. Her dissertation and subsequent work illuminate determinants of default risk, the role of credit scores under information asymmetry, and how consumer credit mediates monetary policy effects on consumption. An ongoing project using confidential transaction-level data from Didi explores spatial driver dynamics and optimal pricing in a search-equilibrium model, showcasing her ability to translate proprietary big-data insights into structural pricing designs. She develops high-performance toolkits in Matlab and C++ and handles massive datasets in Python and Stata, a technical breadth that underpins both academic contribution and practical policy advice.
13 years of coding experience
Doctor of Philosophy (Ph.D.), Economics, Doctor of Philosophy (Ph.D.), Economics at Georgetown University
Bachelor's degree, Economics and Finance, Bachelor's degree, Economics and Finance at Tsinghua University
English, Chinese