Summary
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.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Machine learning and data mining, Master's degree, Machine learning and data mining at Aalto University
Doctor of Philosophy (Ph.D.), Machine Learning, A, Doctor of Philosophy (Ph.D.), Machine Learning, A at Université de Montréal
Master of Science, Machine Learning, Master of Science, Machine Learning at Teknillinen korkeakoulu-Tekniska högskolan
English, French, Chinese