Research Interests
Multi-Agent Systems, Computational Economics, Preference Elicitation, Applied Machine Learning, Decision Making under Uncertainty
Prospective Graduate Date: Summer 2017
I am currently interested in combining AI and game theoretic techniques to model and investigate real-world markets. My PhD research focuses specifically on matching markets, such as labor markets (i.e., stable matching problems).
Academic Bio
At the University of Toronto I am currently co-advised by Allan Borodin and Kate Larson, and am focusing on computational economics and multi-agent systems problems. I received my Masters Spring 2013, advised by Craig Boutilier, at which point I began pursuing my PhD. My undergraduate research advisor at the University of Pittsburgh was Diane Litman.