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Daniela Witten

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Through Machine learning and Genomics

Early life and education

Witten studied mathematics and biology at Stanford University, graduating in 2005. She remained there for her postgraduate research, earning a master's degree in statistics in 2006. She was awarded the American Statistical Association Gertrude Mary Cox Scholarship in 2008. Her doctoral thesis, A penalized matrix decomposition, and its applications was supervised by Robert Tibshirani. She worked with Trevor Hastie on canonical correlation analysis. She co-authored An Introduction to Statistical Learning in 2013.

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