Daniela Witten | |
|---|---|
 Witten at the SiliconAngle digital community TheCube in 2018 | |
| Alma mater | Stanford University (BS, PhD) |
| Known for | An Introduction to Statistical Learning[3] |
| Awards |
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| Scientific career | |
| Fields | |
| Institutions | University of Washington |
| Thesis | A penalized matrix decomposition, and its applications (2010) |
| Doctoral advisor | Robert Tibshirani[2] |
| Website | faculty |
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.[1]
- ^ a b Daniela Witten publications indexed by Google Scholar
- ^ Daniela Witten at the Mathematics Genealogy Project
- ^ Cite error: The named reference
itsmlwas invoked but never defined (see the help page). - ^ "Daniela Witten". faculty.washington.edu.
- ^ "UW Biostatistics People Page". UW Biostatistics People Page.
