David Wingate is an Assistant Professor at Brigham Young University and the faculty administrator of the Perception, Control and Cognition laboratory. His research interests lie at the intersection of perception, control and learning. Specific interests include probabilistic programming, probabilistic modeling (particularly with structured Bayesian nonparametrics), reinforcement learning, dynamical systems modeling, information theory, manifold learning, kernel methods, massively parallel processing, visual perception, optimal control, deep neural networks and robotics.
David received a B.S. and M.S. in Computer Science from Brigham Young University in 2002 and 2004, and a Ph.D. in Computer Science from University of Michigan in 2008. He was a postdoc and research scientist at MIT with a joint appointment in the Laboratory for Information Decision Systems and the Computational Cognitive Science group. Before joining BYU, he was the director of Lyric Labs, an advanced R&D group inside Analog Devices, Inc., where he directed research at the intersection of machine learning and hardware.
He is currently pursuing applications in robotics and low-cost medical imaging.