To improve understanding of brain function and improve outcomes assessments in patients treated with invasive neuromodulatory therapies.
Programming (Matlab, R, Python), Microcontrollers (Arduino), electrophysiology, neuroimaging, and computer vision tools.
The goal of research in my lab is to understand how the central nervous system converts incoming sensory stimuli into motor commands in human subjects. I have established robust collaborations with clinicians in the Departments of Neurology and Neurosurgery focused on human neuroscience that combines neuroimaging, neurophysiology, and behavior. In addition, I have built a highly successful computational neuroscience lab based on the acquisition and analysis of invasive human electrophysiology, including single neuron recordings from deep brain stimulation patients and multi-electrode local field potential recordings from patients with refractory epilepsy. This effort is twofold, to improve treatment and therapeutic outcomes as well as improve our understanding of normal and pathological brain function.