Program Postdoctoral Fellow
As a graduate student in economics, Justin was introduced to game theory - the standard quantitative tool for analyzing interactive decision makers. While game theory has proven successful in providing a foundation for modern microeconomics, it is often inadequate in addressing scenarios in which the sequence of actions and events is random. For example, the decisions of Wall Street investment banks do not follow a fixed sequence but instead, each firm makes decisions at random times according to when it receives information and how long it takes to process this information. Together with professor Wolpert and supported by funding from the Army Research Office, Justin is focusing on how to expand the tools of game theory to better analyze scenarios in which the sequence and timing of events and actions is random but also relevant to the decision makers. By developing such a tool, he hopes to better understand systems of interacting decision makers that were previously too difficult to analyze with traditional tools. While not an exhaustive list, his recent research has focused on applying new game theoretic tools to understand computer network attack and detection scenarios, aircraft collision avoidance in the presence of mechanical failure and collusion in an economy subject to random shocks and informational frictions.
Justin received a B.S. in Economics and B.A. in Spanish from Xavier University in Cincinnati, OH and Ph.D. in Economics from American University in Washington DC.