- I completed my postdoctoral research at the MIT Media Lab and am now living in Austin, Texas, figuring out my next step. I’ve still got some exciting research in the pipeline though, which should be published in 2015.
- I have just published an overview of interactive machine learning in AI Magazine. It’s co-authored by Todd Kulesza, Maya Cakmak, and Saleema Amershi, and called Power to the People: The Role of Humans in Interactive Machine Learning. (Author’s copy)
- With Guangliang Li et al., publishing ICDL-EpiRob 2014 paper Learning from Human Reward Benefits from Socio-competitive Feedback
- Co-chairing the AAAI-2015 Robotics Program (with George Konidaris)
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.