Yevgeniy Vorobeychik, PhD

Dr. Vorobeychik's work crosses disciplinary boundaries. His technical background is in Artificial Intelligence, with a Ph.D. in Computer Science and Engineering from the University of Michigan under supervision of Michael P. Wellman. Much of his work is in Multiagent Systems, at the intersection of Computer Science and Economics (especially Game Theory). He particularly enjoys 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.