I am interested in the brain as a complex computational processor. Given a set of inputs, information flows through networks, and results in a set of outputs. I am interested in leveraging EEG with fMRI to better understand pathways, such as those involved when we switch between tasks, at an individual level. Modeling these dynamical networks allows us to better describe how the brain performs these functions, and allows us to analyze which aspects of the network are different in clinical populations such as those affected with autism spectrum disorder (ASD). Those with ASD are unable to switch tasks as easily and quickly as neurotypicals and I am interested in using graph theory and network analyses to understand why and how their networks fail to give rise to the proper output (namely, switching tasks). Neuroscience has a wealth of systems-level questions that can be better addressed using such computational approaches that will allow us to compare and describe how different individuals process a similar environment and yet have different behaviors.