Computing That Serves

Colloquium: Why Grad School


Thursday, October 15, 2015 - 11:00am


David Wingate


Why Grad School
Thursday, October 15, 2015
11:00am  1170 TMCB

Research Interests:
Dr. Wingate's research interests lie at the intersection of probabilistic programming, hardware accelerated probabilistic inference and machine learning.  His work spans diverse topics in audio processing, Bayesian nonparametrics, reinforcement learning, massively parallel processing, visual perception, dynamical systems modeling, and signal processing.

He is currently pursuing applications in robotics and low-cost medical imaging.


David Wingate 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, and advanced R&D group inside Analog Devices, Inc., where he directed research at the intersection of machine learning and hardware.