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Research interests

My work is at the intersection of medical image analysis, machine learning, and computational neuroscience. I focus on developing novel computational methods to extract information from imaging data and delineate patterns in large heterogeneous data sets, towards improving patient-specific diagnosis and advancing our understanding of brain structure and function in health and disease. Current applications include aging and Alzheimer's Disease, as well as development and neuropsychiatric disorders.

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