Summary
Ye Hua is a data scientist with a decade of experience turning ambiguous questions into production-ready models and experiments across Facebook, Meta and now Instagram. Trained originally in philosophy and art history before earning CS degrees from NYU and Columbia, Ye blends humanistic curiosity with rigorous algorithmic thinking to tackle feed, stories and ads ecosystem problems at scale. As an individual contributor and former Data Science Manager, they have hands-on expertise in experimentation, causal inference and large-scale analytics that inform product decisions. Early work spans low-latency systems, Spark/Hive pipelines and research-facing roles—an unusual mix that helps bridge academic-style inquiry with production constraints. Based in the Bay Area, Ye is known for finding concrete methodologies where others see only debate, and for translating interdisciplinary perspectives into measurable impact.
10 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Computer Science and Economics (theory track), Bachelor's Degree Computer Science and Economics (theory track) at New York University
Master’s Degree Computer Science, Master’s Degree Computer Science at Columbia Engineering
High School, High School at Hangzhou High School, Mainland China
English, Chinese