Most of my research work crosses disciplinary boundaries. Much of my work is in Multiagent Systems, at the intersection of Computer Science and Economics (especially Game Theory). I particularly enjoy applied concepts from game theory to a broad array of problems, such as optimal security resource allocation, robust machine learning, risk analysis of health data de-identification strategies, and game theoretic design of broadly neutralizing antibodies.