My research program focuses on elucidating the biological pathways underlying cognition, emotion, and behavior, determining developmental deviations and degenerative processes in these pathways, and ultimately predicting onset and informing early intervention in neurological and psychiatric disorders. In order to understand the brain mechanisms underlying cognition and emotion, my research program focuses on brain-behavior analyses leveraging a variety of brain data formats and analysis tools. Specifically, I have used both task and resting state fMRI as well as diffusion tensor imaging to understand brain-behavior relationships. Despitesubstantial progress over the last twenty years to use MRI to determine the relationship between brain network connectivity and behavior, reproducibility and reliability of these findings has become an increasing concern and standard univariate voxel-wise control of false positive rates has received criticism. To address these challenges, my program of research proposes to focus on:

• Whole brain multi-modal connectome data and leveraging the inherent network organization of brain
  structures
• Advancing image analysis methodology to ensure sensitivity, specificity, and reliability in human
  connectome data
• Using large datasets for detecting normal and abnormal variability in brain function across the lifespan in
  the population and in disease

My research program spans cognitive psychology, behavioral neuroscience, clinical populations, and methods development. This breadth of research program is critical to a comprehensive and methodologically sound understanding of disorders of the mind and translation of novel analysis techniques and insights across domains.