Summary
Guofu Zhou is the Bierman and Spears Professor of Finance at Washington University in St. Louis with over three decades of academic experience and 11 years in his current endowed role. His research blends empirical asset pricing, investor sentiment, behavioral finance, and machine learning to tackle predictability, anomalies, and portfolio optimization across markets including China. Trained in mathematics and computational math (Chengdu, Academia Sinica) and holding a PhD in Economics from Duke, he brings rigorous quantitative and Bayesian methods to real-world asset-allocation and mutual fund/hedge fund questions. He publishes extensively—research papers are regularly posted on his faculty page—and leverages big data and technical analysis to probe investor behavior. Unusually for a senior finance academic, he also codes in Rust, Python, Next.js and Swift, signaling hands-on engagement with modern tooling for empirical finance. Based in Missouri, he combines deep theoretical grounding with practical machine-learning approaches to inform both academic and practitioner audiences.
11 years of coding experience
19 years of employment as a software developer
Master of Science - MS, Computational Mathematics, Master of Science - MS, Computational Mathematics at Chnegdu Branch, Academia Sinica
Master's degree, Mathematics, Master's degree, Mathematics at Duke University
BSBA, Math, BSBA, Math at Chengdu University of Technology, BSBA