Xinyuan Wu is a data scientist and quantitative researcher based in New York with nine years of experience applying statistical modeling and data-driven strategies in finance and analytics firms. He has progressed from academic research during a PhD at NC State to applied roles at M Science, 7Park Data, Apptio, and now Holocene Advisors, bridging rigorous experimental methods with production-ready insight generation. Xinyuan specializes in extracting signal from alternative data and building models that inform investment and product decisions, with a track record of translating complex datasets into actionable recommendations. He brings both research discipline and pragmatic engineering, often working end-to-end from data acquisition to model deployment. Colleagues describe him as someone who blends deep quantitative rigor with a practical sense for business impact, and who thrives in environments that demand reproducible, auditable analytics.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at North Carolina State University
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Beijing University of Chemical Technology
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