My main research foci are in network-based neuroimaging and health disparities. Network analyses aim to characterize the systemic structure of the brain and how this structure relates to various conditions (e.g., disease) and behaviors. Understanding this relationship between brain structure, composed of the interactions between brain regions, and brain function necessitates statistical methodologies that account for data complexity. That is, the statistical evaluation of systemic properties of brain networks requires tools that can capture the complex interactions present in networks. Despite this, most current brain network studies employ rudimentary statistical approaches. There is a pressing need for further statistical development in order to engender powerful analytical tools that will leverage the wealth of data present in brain networks and aid in our understanding of normal and abnormal brain function. My focus on fusing novel statistical methods with network-based neuroimage analysis aims to help address this need.