Neva Durand is a Senior Staff Scientist at the Broad Institute of MIT and Harvard, specializing in genome regulation and utilizing advanced technologies like deep learning for analysis and visualization tools. Previously, Neva held positions as a Technology Transfer Specialist at Inria Startup Studio, focused on developing an AI-powered platform for cancer therapy, and served as an Assistant Professor at Baylor College of Medicine, leading efforts in computational biology and 3D genome reconstruction. Neva's early career included roles as a computational biologist and software engineer, contributing to various projects at the Broad Institute, MIT, INRIA, and the National Institutes of Health. Neva earned a Ph.D. in Computer Science from the University of Washington and a B.S. in Computer Science and Mathematics from Tufts University.
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