Bo joins MSR from a postdoc at the University of Pennsylvania and a PhD in Computer Science from Harvard. He’s interested in interplays between game theory, theoretical CS, AI, and machine learning. A common theme of his work is the acquisition and aggregation of information in systems with strategic, fairness, or privacy considerations. These questions arise in and connect areas like online learning, differential privacy, and prediction markets.