Speaker: Bing Brunton, Professor of Biology at University of Washington

Presentation Title: Embodied Intelligence Through Neuromechanical Models of Natural Behavior

Date and Time: Wednesday, December 4 at 3:30 PM CT

Location: Tech ECE L440

Bio: Dr. Brunton is currently a Professor of Biology and the Richard & Joan Komen University Chair at the University of Washington (UW) in Seattle, with affiliations at the eScience Institute for Data Science, the Paul G. Allen School of Computer Science & Engineering, and the Department of Applied Mathematics. She studied at Caltech (2006, B.S. in Biology, focus on biophysics) and then Princeton (2012, Ph.D. in Neuroscience). She is a computational neuroscientist with broad interests at the intersection of systems neuroscience, animal behavior, and artificial intelligence. Her research group focuses on developing data-intensive methods to understand and model neural function and behavior, using approaches from machine learning, deep reinforcement learning, computer vision, and physics-constrained simulations. She is drawn to understand how the nervous system solves challenges that are vital to the animal: sensing the environment, maneuvering in the physical world, planning and executing goals, and interacting with their societies. Website: https://www.bingbrunton.com/.