I am a second-year Ph.D. student at Brown University, performing work on autonomous trading agents with my advisor, Amy Greenwald.
My primary research interests are in the fields of artificial intelligence and economics, focusing predominantly on decision making under uncertainty, game theory, and mechanism design. I am interested in modeling the behavior of human and non-human agents in imperfect information, multi-agent systems, and using the predictive power of these models to:
- learn optimal policies for agents participating in these domains, and
- design further domains for these agents which, given their predicted behavior, will optimize some social welfare function such as profit, fairness or global expected utility.
Much of my current research has been on the Trading Agent Competition for Supply Chain Management (TAC SCM), a simulation in which six autonomous agents compete for maximum profit by purchasing parts from suppliers, building sets of products, and selling these products to consumers.
Most recently, I have begun work on the Trading Agent Competition Ad Auction (TAC-AA) game, a competition in which agents act as advertisers who must bid for the right to display sponsored search links for keyword auctions.
