I am currently the CTO of Rapid Flow Technologies, a company we formed in 2015 to commercialize the Surtrac technology we have been developing at Carnegie Mellon University. Rapid Flow builds intelligent transportation technologies for smart cities.

I am still a part-time project scientist in the Robotics Institute at Carnegie Mellon University, where I work with Stephen Smith in the Intelligent Coordination and Logistics Laboratory.

My current research is on real-time adaptive traffic signal control for urban road networks. We have developed a system called Surtrac (Scalable Urban Traffic Control), which we've been deploying in Pittsburgh since 2012. So far, we've deployed Surtrac at 50 intersections in the city.

I received my Ph.D. in Robotics from Carnegie Mellon in 2011. My dissertation 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.

My general research interests are 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, 1999.