Yi Zhou
Director Of Strategy And Operations, Consumer Trust
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolYi (Joey) Zhou is a seasoned technology executive who leads strategy and operations at the intersection of AI, product safety, and regulatory compliance, currently driving Consumer Trust efforts at Google. With over a decade of experience scaling complex organizations across Search, Cloud AI, and Ads, she excels at 0→1 buildouts—standing up AI governance, publisher opt-out strategies for Gemini, and portfolio-level regulatory risk frameworks. Her background blends rigorous academic research in bioinformatics and algorithms with McKinsey consulting experience, enabling her to translate technical IP and data-driven insights into pragmatic business strategy. Known for cutting through ambiguity, she combines creative solutions with operational discipline to protect user trust during high-sensitivity events like elections. An early contributor to open-source ML tooling (PredictionIO), she pairs hands-on engineering chops with executive leadership to deliver measurable outcomes across product, legal, and policy teams.
12 years of coding experience
11 years of employment as a software developer
MS and PhD Bioinformatics, MS and PhD Bioinformatics at New York UniversityBachelor of Science (BS) Genetic Engineering, Bachelor of Science (BS) Genetic Engineering at Fudan UniversityPost Doc Biomathematics Bioinformatics and Computational Biology, Post Doc Biomathematics Bioinformatics and Computational Biology at Princeton University
Github Skills (6)
algorithm10
algorithms10
machine-learning10
predictionio10
scala10
big-data9
Programming languages (2)
Github contributions (5)
apache/predictionio
Oct 2014 - Dec 2014
PredictionIO, a machine learning server for developers and ML engineers.
Role in this project:
ML Engineer
ML EngineerContributions:20 commits in 2 months
Contributions summary:Yi contributed to a machine learning server by implementing a random selection algorithm. They created a new folder and related files, adding core components like `MyDataSource`, `MyAlgorithm`, and `MyEngineFactory` within the `predictionio` context. The user also added a parameter for random seed, updated the README, and added necessary build files, demonstrating proficiency in PredictionIO engine development.
pythondata-sciencemachine-learningmlopsbig-data
ZhouYii/MalwarePackerClassifier
Nov 2013 - Dec 2013
Contributions:23 commits in 26 days
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