I received my Ph.D. in Computational Neuroscience under the mentorship of John Gabrieli at MIT, and my postdoctoral training with David Somers at Boston University. I am currently an Assistant Professor in the Psychology Department of The Ohio State University.
My research explores the relationship between brain connectivity, neural function, and behavior, through computational modeling. Connectivity is the primary constraint on the information available to a brain region, and so connectivity should be highly predictive of neural responses. I am primarily interested in attention and high-level visual perception, and I have demonstrated that structure-function models can predict how your brain will respond during a task, before you even do the task, using your connectivity patterns alone. These models can also predict a variety of cognitive abilities at the level of an individual subject.