Mr. Rademacher is a member of the Navy Center for Applied Research in Artificial Intelligence, U.S. Naval Research Laboratory, where he performs research on goal-based reinforcement learning, game-theoretic machine learning for cyber defense, and cognitive resource management. He has a B.S. and M.Eng in Electrical and Computer Engineering from Cornell University and is currently completing his Ph.D in Electrical Engineering at the George Washington University with a focus on Bayesian supervised learning using Dirichlet priors. His research interests include Bayesian inference, reinforcement learning, and statistical signal processing.