I'm a new faculty member at Carnegie Mellon University in Robotics. I am interested in “closing the loop” on complex systems; that is, I am interested in designing algorithms that allow systems to observe their own operation and improve performance. My belief is that the border land between planning, control and computational learning is particularly rich with research challenges and potential to make real, immediate impact on applications. I'm particularly interested in systems for which we can obtain at best a partial model. To this end, I'm excited about extending research tools that come from information theory, statistics, control theory, statistical physics and optimization. At the moment, I am particularly focused on two areas in machine learning. First I am working on applications of learning and decision making applied to mobile robotics. Second, I am interested in developing rich, structured probabilistic models that are appropriate for both making and learning decisions.
I grew up in Palm Bay, Florida. I attended the University of Florida and studied electrical engineering while working for Keith Doty in robotics. After graduating and spending a short time as a hardware and software designer in the telecom industry, I joined the robotics institute to study machine learning. My thesis work involves theoretical and practical issues in applying machine learning to make decisions.