I'm currently working on Roundtable (ycs23) with Mayank Agrawal. Roundtable is an open-source platform for gathering human data online, e.g. surveys, data annotation, experiments, etc.

Previously, I completed my PhD 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 in general.

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 (and minored in math) at the University of Toronto, and spent two summers at MIT 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.