I’m a senior researcher at the Johns Hopkins University Applied Physics Lab, working broadly in machine learning and artificial intelligence. I'm particularly interested in the application of reinforcement learning techniques to real-world problems; that is, in methods for ensuring robust performance in large systems with significant uncertainty. My current work reflects these interests, but my technical background is fairly eclectic. I have worked on projects ranging from gravitational wave astronomy (with LIGO) to a device used to measure the ferocity of dunks by the NBA. For my Ph.D. thesis I built a data-driven model of human walking that was applied to control a robotic prosthetic ankle. I generally believe in the ability of technology to benefit society and want my work to be useful, if only in a small way.
Listed skills include Physics, Applied Mathematics, Machine Learning, Data Science, and 9 others.