I conduct research on intersections of (1) the control of robots and other agents, (2) machine learning (reinforcement learning in particular), (3) human-computer interaction, and (4) computational models of human behavior for cognitive science research. I’m primarily interested in human interaction with machine learning algorithms, especially when the human fills a teaching role.

In late 2012 I defended my dissertation—Learning from Human-Generated Reward—at UT Austin and joined the MIT Media Lab as a postdoc, working with Cynthia Breazeal’s Personal Robots Group. My research there focused on a project we’re tentatively calling Learning from the Wizard (pre-experiment workshop paper here), in which a robot learns to emulate its puppeteer’s control, in this case creating an autonomous robot learning companion for young children. At MIT, I also built upon my dissertation research, which was advised by Peter Stone within the LARG research group, and I designed and taught the graduate course Interactive Machine Learning.