Summary
Richard Ouyang is a quantitative researcher and former VP at Two Sigma with a decade of experience at the intersection of statistics, computer science, and finance. He holds AB/AM degrees from Harvard in Economics, Computer Science, and Statistics, and has taught Probability and Data Structures there, blending deep theory with practical mentorship. His trajectory spans hands-on quant research, trading internships, and bioinformatics, showing a knack for applying statistical rigor across domains. At Two Sigma he progressed from intern to leadership, evidencing both technical depth and product-focused research. Based in Cambridge, he combines academic credibility with industry-scale model development and deployment. Colleagues would note his uncommon mix of classroom teaching experience and production quant engineering.
10 years of coding experience
9 years of employment as a software developer
Memphis University School
Bachelor of Arts - AB, Economics and Computer Science, Bachelor of Arts - AB, Economics and Computer Science at Harvard University
English, Chinese, Latin