I'm a PhD student and NDSEG fellow at Tom Griffiths' Computational Cognitive Science Lab at Princeton University. I use machine learning, computational modeling, and behavioral experiments to study how people make decisions. Often, this involves integrating individual-level models of cognition with distributed models of social dynamics. I am especially interested in using this framework to improve network design and choice architectures.

Before my PhD, I majored in both statistics and economics and minored in math at the University of Toronto. During this time, I spent two summers at MIT working with Whitney Newey and Jerry Hausman on applied and theoretical econometrics, and one summer at Via as a data science intern. More recently, I interned at Microsoft Research and worked with Dan Goldstein and Jake Hofman to develop tools for out-of-sample forecasting.

I also enjoy data and model visualization and have recently started building electric scatter.

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