Suyash joined 23andMe in 2016 and works on developing machine learning and statistical methods for analyzing 23andMe’s large genomic and phenotypic dataset. Previously, he was a postdoctoral fellow at Stanford University where he developed methods for studying ancestry and genomic privacy. Suyash earned his PhD in Machine Learning from Carnegie Mellon University.
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