McGovern Institute for Brain Research Massachusetts Institute of Technology
I use techniques from artificial intelligence and functional imaging to understand how the brain works. To that end, I’m interested in the development of computational models that can accurately predict how the brain responds under naturalistic stimulation. By modelling the computations underlying sensory processing ‘in the wild’, a critical focus of my research is to understand the function of different brain areas and how they collectively support complex human behavior. I also have more general interests across machine learning and neuroimaging, particularly in the use of predictive models to understand the distinctive characteristics of the brains of people affected with different mental disorders. The ultimate goal of this work is to develop novel diagnostics of neuropsychiatric diseases, and to harness the improved understanding of the brain and mental disorders to inform treatment and design personalized therapeutics.
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