Anisha Keshavan

Postdoctoral Fellow

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Anisha Keshavan works with Jason Yeatman in Speech and Hearing Sciences and Ariel Rokem at the eScience Institute. Her research focuses on big data methods in neuroimaging. Advances in MRI technology and image segmentation algorithms have enabled researchers to begin to understand the mechanisms of healthy brain development, psychiatric, and neurological disorders. However, accurately measuring the brain at a scale large enough to accommodate genetic association and precision medicine studies is challenging; expert neuroanatomist tracings can take a long time, while automated algorithms are not accurate enough. Anisha aims to develop methods to combine the accuracy of an experts with the speed of computers by incorporating crowdsourced image segmentation with deep learning algorithms. Anisha received a doctoral degree in Bioengineering from the UC Berkeley - UCSF Joint Graduate Program, and a Bachelor's degree in Aerospace Engineering and Applied Mathematics from the University of California, Los Angeles.