Philip Sabes is a neuroscientist, neural engineer, and a Lange Endowed Chair in Physiology at the University of California, San Francisco. He directs the UCSF Swartz Center for Theoretical Neuroscience and is a member of the UCSF Kavli Institute for Fundamental Neuroscience and the UCB/UCSF Center for Neural Engineering and Prostheses. Dr. Sabes studies how the brain uses sensory feedback to maintain accurate and adaptive movement control. His lab also applies this research to the development of Brain Machine Interfaces (BMIs). They recently demonstrated a novel learning-based approach to providing artificial sensory feedback to the brain. A goal of this work is to allow users to feel artificial devices they control via BMIs. His lab is also developing neural interfaces for both next-generation studies of brain-wide sensorimotor circuits and for the combined “read out” and “write in” of BMI signals across these circuits.