Yiling Liu is a data scientist with 11 years of quantitative experience, currently shaping YouTube’s recommendation systems at Google after driving ads quality and search result optimization across Google Search. Trained as a biostatistician (MS, UNC-Chapel Hill) with a BS in applied mathematics, she transitioned from cancer detection research and genetics at Massachusetts General Hospital and UNC into large-scale ML and product experimentation. She blends rigorous statistical foundations with production-focused modeling to improve user experience and ad relevance at scale. Based in Mountain View, she pairs scientific curiosity—evident from early detection work—with a playful hands-on approach to technology reflected in her GitHub bio, making her adept at translating complex research into impactful product decisions.
11 years of coding experience
4 years of employment as a software developer
Exchange Student Applied Mathematics, Exchange Student Applied Mathematics at National Chiao Tung University
Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Xiamen University
Master of Science - MS Biostatistics, Master of Science - MS Biostatistics at University of North Carolina at Chapel Hill
Contributions:70 pushes, 1 branch in 1 year 3 months
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