Shengyi He is a quantitative researcher with a decade of technical experience, currently working at Citadel Securities after completing a PhD in Operations Research at Columbia University. His research bridges statistics, theoretical machine learning, and operations research, with a focus on variance reduction and uncertainty quantification through stochastic and robust optimization. He has practical market-facing experience from internships at Citadel Securities and Amazon and has taught PhD-level stochastic modeling and quantitative finance courses. Based in Miami, Shengyi combines rigorous theoretical foundations from Peking University and Columbia with hands-on quantitative problem solving in high-frequency trading and research environments. An understated strength is his ability to translate advanced uncertainty quantification techniques into practical tools for decision-making under risk.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Statistics, Bachelor of Science - BS Statistics at Peking University
Doctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at Columbia University
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