Harsha is a Schmidt Science and eScience Data Science fellow with a broad interest in systems and computational neuroscience. She combines quantitative analysis of large-scale neurophysiology datasets and network modelling to study how coordinated neural population dynamics emerge and support behavior. She is currently using data-driven dynamical systems modelling and control theoretic approaches to study motor learning, with a focus on brain-computer interfaces.