Daniela Witten
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- Edward Witten (father)
- Chiara Nappi (mother)
Daniela Witten | |
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 Witten at the SiliconAngle digital community TheCube in 2018 | |
| Alma mater | Stanford University (BS, PhD) |
| Known for | An Introduction to Statistical Learning[1] |
| Spouse | Ari Steinberg |
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| Scientific career | |
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| Institutions | University of Washington |
| Thesis | A penalized matrix decomposition, and its applications (2010) |
| Doctoral advisor | Robert Tibshirani[3] |
| Website | www |
Daniela M. Witten is an American biostatistician. She is a professor and the Dorothy Gilford Endowed Chair of Mathematical Statistics at the University of Washington.[4][5] Her research investigates the use of machine learning to understand high-dimensional data.[2]
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.[6][7] She was awarded the American Statistical Association Gertrude Mary Cox Scholarship in 2008.[8] Her doctoral thesis, A penalized matrix decomposition, and its applications was supervised by Robert Tibshirani.[3][9][10] She worked with Trevor Hastie on canonical correlation analysis.[11] She co-authored An Introduction to Statistical Learning in 2013.[1]
Research and career
Witten applies statistical machine learning to personalised medical treatments and decoding the genome.[12] She uses machine learning to analyse data sets in neuroscience and genomics.[13] She is worried about increasing amounts of data in biomedical sciences.[14]
She was appointed to the University of Washington as Genentech Endowed Professor in 2010.[15] Witten contributed to the 2012 report Evolution of Translational Omics, which provided best practise in translating omics research into a clinic.[16][17]
She is an associate editor for the Journal of the American Statistical Association.[18]
Recognition
She was elected as a Fellow of the American Statistical Association in 2020.[19] She was named to the 2022 class of Fellows of the Institute of Mathematical Statistics, for "substantial contributions to the field of statistical machine learning, with applications to biology; and for communicating the fundamental ideas in the field to a broad audience".[20]
She was awarded an NIH Director's Early Independence Award in 2011.[21] She was awarded the American Statistical Association David P. Byar Young Investigator Award for her work Penalized Classification Using Fisher’s Linear Discriminant in 2011.[22] Her book An Introduction to Statistical Learning won a Technometrics Ziegel Award in 2014.[23] She won an Elle magazine Genius Award in 2012.[24] In 2013 she won an Alfred P. Sloan Foundation Fellowship.[25] She was named in the Forbes 30 Under 30 Science & Healthcare category in 2012, 2013 and 2014.[26][27][28] In 2015 Witten was awarded the Texas A&M University Raymond J. Carroll Young Investigator Award.[29] In 2018, she was named a Simons Foundation Investigator,[30] and in 2022, she received the COPSS Presidents' Award.
