Dr. Brad Knox
Brad Knox is a postdoctoral researcher at the MIT Media Lab. His research interests span machine learning, human-robot interaction, and psychology, especially machine learning algorithms that learn through human interaction. Brad received a PhD in computer science at the University of Texas at Austin and a BS in psychology from Texas A&M University. Brad received the Best Paper Award at ICSR 2012 and the Best Student Paper Award at AAMAS 2010, and his dissertation “Learning from Human-Generated Reward” received the Bert Kay Dissertation Award from his doctoral department and a runner-up distinction for the IFAAMAS-12 Victor Lesser Distinguished Dissertation Award. He was named to IEEE’s AI 10 to Watch in 2013.