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I am currently a PhD candidate in Control & Dynamical Systems within the Department of Computing and Mathematical Sciences at California Institute of Technology. I work with Professor John Doyle and Professor Joel Burdick on nonlinear optimal control with applications in robotics. A large components of my work focus on solving the Hamilton-Jacobi-Bellman (HJB) equation for nonlinear systems in high dimensions.

I am interested in the intersection of control, estimation, and learning for autonomous systems. Hence, apart from nonlinear optimal control, I am learning and working on various relevant topics including nonlinear estimation, optimal control with quantitative objectives, L1 optimal control, and machine learning. My goal is to build a scalable and efficient computational platform for fully autonomous systems, in particular robotic systems, which includes high level decision making, and low level control and sensing.

Apart from engineering systems, I am interested in human sensorimotor control and medicine. Using insights from control engineering, I want to gain a better understanding of human sensorimotor control, and improve upon the current technology in the medical field including diagnostics, therapies, and prosthetics.

I received my bachelor’s and master’s degrees in Mechanical Engineering from Northwestern University in June 2012. My work at Northwestern University mainly focused on hybrid system optimization under the supervision of Professor Todd Murphey.