Previous Postdoctoral Fellow, University of Washington Institute for Neuroengineering
Anisha Keshavan was a Moore/Sloan Data Science and WRF Innovation in Data Science Postdoctoral Fellow from 2017 – 2018. She is currently a Research Scientist at the Child Mind Institute but continues to have close research collaborations with the eScience Institute.
Jason Yeatman, Speech and Hearing Sciences
Ariel Rokem, eScience Institute
Anisha Keshavan’s 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 expert’s with the speed of computers by incorporating crowdsourced image segmentation with deep learning algorithms. Anisha received a doctoral degree in Bioengineering from the University of California Berkeley – UCSF Joint Graduate Program, and a Bachelor’s degree in Aerospace Engineering and Applied Mathematics from the University of California, Los Angeles.