Krafft, P., Thompson, W., Hardy, M. & Griffiths T.L. (2021). Overcoming individual limitations through distributed computation: Rational information accumulation in multi-generational populations. Submitted for review. Email for pdf.
I'm a third-year PhD student and NDSEG fellow at Tom Griffiths' Computational Cognitive Science Lab at Princeton University.
I use computational modeling, behavioral experiments, and agent-based simulations to study how people deal with uncertainty and complexity in their everyday decision making. 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 social network design and redesign choice architectures.
Before my PhD, I was an undergraduate at the University of Toronto, where I majored in both statistics and economics and minored in mathematics. 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.
Hardy, M. & Griffiths T.L. Demonstrating the importance of prior knowledge in risky choice. Paper presented at the 41st Annual Conference of the Cognitive Science Society. pdf
Hardy, M. Thompson, W., Krafft, P. & Griffiths T.L. Optimal mitigation of social bias amplification. Email for current draft.
Callaway, F., Hardy, M. & Griffiths T.L. A resource-rational approach to behavioral nudging. Email for current draft.