Wenyi Huang is an AI and quantitative researcher with 12 years of experience building production-grade ML systems for trading and ads personalization, most recently developing AI-powered alpha models at Citadel with a reported Sharpe ratio around 3. He has a strong research pedigree—PhD in Information Science from Penn State—and has held research scientist roles at Meta and Citadel where he applied advanced techniques such as adversarial, meta, and contrastive learning to real-world recommendation and finance problems. Wenyi’s work spans NLP and computer vision, with particular strengths in embedding learning, deep recommendation models, and citation analysis, and he has a track record of moving state-of-the-art research into high-impact production systems. Now based in Bellevue and building a stealth startup after a brief stint at Jump Trading, he blends academic depth with hands-on quantitative engineering across US, EU, and Asian markets. An under-the-radar detail: he was a founding researcher on Citadel’s AI Research team, translating cutting-edge uncertainty estimation into deployable trading alphas.
12 years of coding experience
5 years of employment as a software developer
Fuzhou No.1 Middle School
Ph.D, Information Science, Ph.D, Information Science at Penn State University
Undergraduate, Computer Science and Technology; Computer Science, Undergraduate, Computer Science and Technology; Computer Science at Tsinghua University
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Wenyi Huang - Research Scientist - Machine Learning AI at Meta