Hamid Fekri Azgomi, PhD
At the Wang Lab, I am expanding my understanding of gait neurophysiology in Parkinson’s disease (PD) and working on deep brain stimulation (DBS) treatments. My work focuses on analyzing how DBS parameter settings influence gait functions, determining optimized DBS parameters to enhance walking performance, investigating neurophysiological characteristics, and designing adaptive DBS systems. Before joining Wang Lab at UCSF, I received my Ph.D. in Electrical Engineering from the University of Houston, where I was part of the computational medicine lab and conducted research on closed-loop brain state regulation. During my doctoral studies, I analyzed physiological signals from wearable devices to infer latent brain states and developed control algorithms to close the loop and regulate the brain states. In my free time, I enjoy cooking, spending time with friends, and traveling.