Yun-jhong Wu
--- at Stealth Startup
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolYun-jhong Wu is an experienced full-stack quantitative researcher and developer with 11 years building and productionizing high-frequency and mid-frequency trading strategies for options and futures. Based in Chicago, he led Akuna Capital’s machine learning strategy team and designed volatility arbitrage and other systematic strategies before continuing similar work at Headlands Technologies. He blends a strong academic foundation—a PhD in Statistics from the University of Michigan and a Master’s in Mathematics—with hands-on engineering that spans research, production systems, and portfolio management. Comfortable in stealth startup environments, he moves fluidly from prototype to live trading infrastructure and risk-managed deployment. An unusual background in sociology alongside deep quantitative training gives him a rare perspective on behavioral and structural drivers in markets.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Sociology, Bachelor's degree, Sociology at National Taiwan UniversityDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Michigan
Github Skills (10)
meta-tags10
decomposition10
julia9
metadata9
burn8
primitive-types5
reinforcement-learning5
strongly-typed5
rust4
tensor3
Programming languages (2)
Github contributions (5)
yunjhongwu/strong-type
Dec 2023 - Feb 2025
Procedural macros for naming and strong-typing pritimives and strings in Rust
Contributions:18 releases, 132 PRs, 118 pushes in 1 year 2 months
primitive-typesprocedural-macrosruststrongly-typed
yunjhongwu/matrix-routines
Jun 2015 - Mar 2017
Contributions:17 commits, 21 pushes, 1 branch in 1 year 9 months
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