Cynthia Wu is a Lead Data Scientist based in the San Francisco Bay Area with seven years of experience specializing in A/B testing, quasi-experimental design, and personalization algorithm evaluation for web and mobile consumer products. She combines deep statistical rigor with production-grade tooling—SQL (Hive/Presto/Spark), Python, and automated data pipelines—to turn product hypotheses into measurable outcomes and scalable dashboards. At Disney Streaming and previously at Houzz she built in-house experimentation platforms, improved company-wide AB test infrastructure, and mentored junior analysts to raise team capabilities. Her background includes a PhD in Chemical Engineering from Stanford, bringing a strong experimental mindset and problem decomposition skills that inform both metric design and causal inference in complex product systems. Notably, she bridges research-grade methods and pragmatic product delivery, enabling faster, safer personalization iteration at scale.
7 years of coding experience
14 years of employment as a software developer
Bachelor’s Degree, Chemical Engineering, Bachelor’s Degree, Chemical Engineering at University of California, Berkeley
Honors
Student of Distinction, Honors
Student of Distinction at Mt. San Antonio College
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at Stanford University
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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