Sarah is a data scientist focusing on longitudinal analyses of neuroimaging data. Her dissertation research identified neural markers of cognitive and motor decline in Parkinson’s Disease. During her doctoral studies she also investigated neural markers associated with increased risk of Major Depressive Disorder. Her analyses included both functional and anatomical neuroimaging data and focused on utilizing classification models to identify disease subtypes with distinct longitudinal trajectories. Sarah received her Ph.D. in Integrative Neuroscience from Stony Brook University in 2020.