I am a postdoctoral fellow in the Robotics Institute at Carnegie Mellon University, where I work with Stephen Smith in the Intelligent Coordination and Logistics Laboratory.

I recently completed my Ph.D. in Robotics at Carnegie Mellon. My thesis focused on improving memory for optimization and learning algorithms on problems with dynamic environments. I developed two novel classes of explicit memory to exploit information from previous solutions as a problem changes.

I am interested in the application of optimization, learning, and search to real-world problems, particularly problems with dynamic or uncertain environments. One of my other research interests is evolutionary robotics, the design of robot controllers using evolutionary computation.

• Carnegie Mellon University, Ph.D. in Robotics, 2011
Dissertation: Improving memory for optimization and learning in dynamic environments
National Defense Science and Engineering Graduate Fellow
• North Carolina State University, M.S. in Electrical Engineering, 2004.
  Thesis: Design of autonomous navigation controllers for unmanned aerial vehicles using multi-objective genetic programming
• North Carolina State University, B.S. in Electrical Engineering and B.S. in Computer Engineering, summa cum laude, 2003.
John T. Caldwell Scholar, Barry M. Goldwater Scholar
• North Carolina School of Science and Mathematics, high school, 1999.