His research is in the area of intelligent systems, focusing on multi-agent systems and computational decision making. He is also interested in applications of artificial intelligence to homeland security, cybersecurity, trading agents, and other areas with the potential to benefit society. He received his Ph.D in 2008 from the University of Michigan for thesis work on strategic reasoning, including applications in designing a champion trading agent for the TAC SCM competition. He has worked on several deployed applications of game theory for security, including systems in use by the Federal Air Marshals Service and Transportation Security Administration. He has authored more than 60 papers in peer-reviewed conferences and journals (e.g., AAMAS, IJCAI, AAAI, JAIR, JAAMAS, ECRA). He has received several best paper awards, the David Rist Prize, and an NSF CAREER award.