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 while you perform a task, before you even do that task, using your connectivity patterns alone. This approach aims to uncover the neural circuitry that governs how the brain achieves perception and cognition.