Patrick Roos graduated with his Ph.D. from the University of Maryland, College Park (UMD). He holds a B.S. in Discovery Informatics from the College of Charleston (Summa Cum Laude) and an M.S. in Computer Science from UMD. His research interests in evolutionary computation, evolutionary game theory, and machine learning are marked by interdisciplinary applications of these fields in the social sciences and humanities. These applications involve decision theory, behavioral economics, social modeling and simulation, and opponent modeling. As a member of the Lab for Computational Cultural Dynamics at UMD, his work centers around modeling human behavior, culture, their evolution, and dynamics of cultural/social information in structured populations (e.g. social networks).