I am a Ph.D student working in the Kavraki Lab at the Department of Computer Science at Rice University. My research focuses in intelligent systems and robotics, specifically automated motion planning. In particular, my interests lie in the control of complex, physically grounded systems, efficient coordination of multi-robot teams, and robust planning under sensory, actuarial, and environmental uncertainty. The intersection of classical mechanical engineering methods for feedback control and modern algorithms for quickly computing valid motion plans is also interesting, especially as automated robotics makes its way into everyday life. I am also a primary software developer for the Open Motion Planning Library, a flexible, open-source software package for sampling-based motion planning of high-dimensional and complex systems.
I am formerly affiliated with the PRACSYS group at the University of Nevada, Reno (now at Rutgers University), headed by Dr. Kostas Bekris, where I completed my Master's thesis. My thesis work focused on discrete search algorithms which provide efficient and algorithmically robust path planning for multi-agent systems.