About

I'm a statistician and machine-learning researcher interested in learning from large-scale behavioral data and turning that data into useful measurements and decisions.

My work has focused on causal inference, experimentation, machine learning, privacy, and fairness, with an emphasis on methods that work in real-world systems at scale.

Previously, I was a Senior Research Scientist at Meta and a Senior Machine Learning Engineer at LinkedIn.

I received my Ph.D. in Statistics from Stanford University, where my dissertation focused on machine learning for causal inference with applications in social science.