Shenyuan Wu
Research Associate
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolShenyuan Wu is a research-focused quantitative analyst and M.S. Statistics candidate at Columbia University with eight years of hands-on experience building data-driven investment strategies and automating equity research workflows. He has applied factor modeling, portfolio optimization, regime detection, and robust backtesting to improve downside protection and deliver Sharpe-positive strategies across equities and commodities. At AI4Finance he developed FinRobot agents that produce professional-grade equity research and improved reproducibility by validating outputs with senior practitioners, bridging research and production use cases. His background includes operational forecasting using time series models, teaching statistics to undergraduates, and translating complex quantitative results into stakeholder-ready presentations. Comfortable across Python, R, MATLAB and Bloomberg Terminal, he combines academic rigor with practical, cross-functional collaboration to push AI-assisted financial research toward real-world deployment.
8 years of coding experience
Bachelor of Science Statistics, Bachelor of Science Statistics at Rice UniversityMaster's Degree Statistics, Master's Degree Statistics at Columbia University Graduate School of Arts and SciencesMaster of Arts - MA Statistics, Master of Arts - MA Statistics at Columbia University
Github Skills (5)
yelp-fusion-api6
yelp5
fusion5
api5
nodejs3
Programming languages (2)
Github contributions (5)
ShenxiuWu/ShenxiuWu.github.io
Apr 2024 - Nov 2024
Contributions:30 pushes, 2 branches in 7 months
sw3196/GroupUs
Oct 2018 - Dec 2018
Contributions:116 commits, 7 pushes, 3 tags in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.