About

I'm a research and data science leader focused on measuring whether sociotechnical systems are actually helping the people who use them. In online communities, that meant measuring belonging, connection, and the health of social spaces. In AI, it means evaluation — is a model genuinely helpful? The surface looks different; the core challenge is the same.

The methods span causal inference, psychometrics, Bayesian modeling, large-scale experimentation, and LLM-as-judge evaluation. But the through-line is a conviction that good measurement is itself a contribution — and that getting it wrong doesn't just produce bad numbers, it produces bad decisions.

Career

Education

Ph.D. in Computer Science (HCI) from Stanford, advised by Jeffrey Heer. M.A. in Philosophy and B.S. in Mathematics, also from Stanford. 1,700+ citations across CHI, CSCW, ICWSM, EuroVis, WSDM, UIST, and journal venues.