Michael Gibilisco's research interests include formal political theory, political economy of conflict, and political methodology. His current research applies dynamic game theory to study the evolution of intergroup conflict, legislative policy making, the selection of institutions, and their implications for minority rights. More theoretically, he is interested in dynamic games and their associated aspects of equilibrium existence, computational tools, and structural estimation. His other research includes non-Downsian models of elections and social choice. Gibilisco earned his PhD in political science from the University of Rochester in 2017, where he received the Outstanding Dissertation Award for the Social Sciences.