Li Yao

Quantitative Researcher, Systematic Active Equity

San Francisco Bay Area United States
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Summary

👤
Senior
🎓
Top School
Li Yao is a PhD-trained machine learning researcher and practitioner with over a decade of experience applying neural generative models to real-world problems across imaging, video, and text. A lifelong programmer who started on an Apple III, he has authored 15+ publications and long served as a reviewer for top ML venues (ICLR, ICML, NeurIPS, AAAI), bridging deep academic rigor with product-focused delivery. In industry he has led and scaled ML efforts from research roles at IBM and Baidu to healthcare-focused positions at Enlitic and Hyperfine, developing chest X-ray and CT models that detect 20+ abnormalities and enable earlier lung cancer diagnosis. Now at BlackRock he applies the same signal‑engineering and ML research skills to alpha generation for systematic active equity. Colleagues describe him as relentless in pursuit of better models—求道之人—and adept at turning cutting‑edge research into robust, production systems.
code10 years of coding experience
job9 years of employment as a software developer
bookMaster's degree, Machine learning and data mining, Master's degree, Machine learning and data mining at Aalto University
bookDoctor of Philosophy (Ph.D.), Machine Learning, A, Doctor of Philosophy (Ph.D.), Machine Learning, A at Université de Montréal
bookMaster of Science, Machine Learning, Master of Science, Machine Learning at Teknillinen korkeakoulu-Tekniska högskolan
languagesEnglish, French, Chinese
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Github Skills (101)

webview10
serve10
desktop-application10
application10
chatgpt9
linux9
tauri9
ctc9
ai9
gpt9
rust9
windows9
chat9
optimization9
openai9

Programming languages (7)

TypeScriptJavaC++ShellRustGoPython

Github contributions (5)

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liyaodev/python-bootcamp

Feb 2022 - Oct 2022

Contributions:15 commits, 16 pushes, 1 branch in 7 months
3tu/spring-cloud-demo

Nov 2016 - Jul 2017

Contributions:1 release, 9 pushes, 1 branch in 7 months
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