Daniela Witten

Photo of Daniela Witten
Professor
Statistics
Professor
Biostatistics
PhD
Statistics
Stanford University
2010
MS
Statistics
Stanford University
2006
BS
Biological Sciences, Mathematics
Stanford University
2005

Daniela Witten's research involves the development of statistical machine learning methods for high-dimensional data, with applications to genomics and other fields. Daniela is a co-author (with Gareth James, Trevor Hastie, and Rob Tibshirani) of the very popular textbook "Introduction to Statistical Learning". Daniela is the recipient of a number of honors, including an NIH Director's Early Independence Award, a Sloan Research Fellowship, an NSF CAREER Award, and a Simons Investigator Award. Her work has been featured in the popular media: among other forums, in Forbes Magazine (three times), Elle Magazine, on KUOW radio, and as a PopTech Science Fellow. Daniela completed a BS in Math and Biology with Honors and Distinction at Stanford University in 2005, and a PhD in Statistics at Stanford University in 2010. Since 2018, Daniela is the Dorothy Gilford Endowed Chair in Mathematical Statistics and a Professor of Statistics and Biostatistics at University of Washington.

Faculty Research Interests
Classification Techniques
Computational Biology
High Dimensional Data
Multivariate Methods
Genomics
Neuroscience
PhD
Statistics
Stanford University
2010
MS
Statistics
Stanford University
2006
BS
Biological Sciences, Mathematics
Stanford University
2005

Daniela Witten's research involves the development of statistical machine learning methods for high-dimensional data, with applications to genomics and other fields. Daniela is a co-author (with Gareth James, Trevor Hastie, and Rob Tibshirani) of the very popular textbook "Introduction to Statistical Learning". Daniela is the recipient of a number of honors, including an NIH Director's Early Independence Award, a Sloan Research Fellowship, an NSF CAREER Award, and a Simons Investigator Award. Her work has been featured in the popular media: among other forums, in Forbes Magazine (three times), Elle Magazine, on KUOW radio, and as a PopTech Science Fellow. Daniela completed a BS in Math and Biology with Honors and Distinction at Stanford University in 2005, and a PhD in Statistics at Stanford University in 2010. Since 2018, Daniela is the Dorothy Gilford Endowed Chair in Mathematical Statistics and a Professor of Statistics and Biostatistics at University of Washington.

Faculty Research Interests
Classification Techniques
Computational Biology
High Dimensional Data
Multivariate Methods
Genomics
Neuroscience