My research examines the cognitive aspects of motor control. We conduct multielectrode recordings in the cerebral cortex of Rhesus monkeys while they perform skilled behaviors. We apply techniques drawn from machine learning to analyze the activity of dozens of neurons, and to generate hypotheses about the neural principles of sensory-motor integration and learning at the level of populations of neurons.
I graduated from the University of Pennsylvania in 1994 with degrees in Computer Science and Philosophy. I earned my PhD at Caltech in 1999 in Computation and Neural Systems. I conducted two postdoctoral fellowships at Stanford University - first with Bill Newsome, and then with Krishna Shenoy. I have been a faculty member in the Department of Bioengineering at the University of Pittsburgh since 2007, and an Associate Professor since 2015.