I'm currently working full-time on Roundtable (YC S23) with Mayank Agrawal. Roundtable provides AI tools for user and market researchers.

Previously, I was a PhD student in Tom Griffiths' Computational Cognitive Science Lab at Princeton. My research focused on using machine learning and behavioral experiments to improve network design, choice architectures, and decision-making more generally.

During grad school, I spent a summer as an intern at Microsoft Research where I worked with Dan Goldstein and Jake Hofman to develop tools for out-of-sample forecasting. I also spent some time building electric scatter, a website devoted to interactive data visualizations.

Before my PhD, I majored in statistics and economics at the University of Toronto, and spent two summers working in econometrics with Whitney Newey and Jerry Hausman. I also interned in data science at Via, and spent my earlier years working as a busser, paperboy, lifeguard, farmhand, and assembly line worker.