At Meta, I set measurement strategy and co-owned the roadmap for Strategic Harms. My work identifying concentrated recidivism among high-harm actors established a prioritization that reduced recidivism by 10% and prevented enforcement loss.
I also designed a diff-in-diff and doubleML framework to measure feature-limiting where A/B testing wasn’t possible. At Meta, I built AI analytical infrastructure with reusable methods and tooling that helped teams resolve complex requests without data science escalations.
At Google Workspace, I established product and measurement strategy for Enterprise onboarding and designed a covariate-adjusted testing approach that lifted experimentation velocity by 75%. Earlier at Google Chrome, my analysis drove cross-org strategy shifts that secured $1B in funding and doubled iOS default-browser adoption.
At Spotify, I defined A/B testing methodology for personalization and evaluated the homepage recommender. My work across Google, Microsoft, Spotify, and Meta has included causal inference, experimentation, modeling, and measurement for consumer products, monetization, and platform integrity.
