People

Daniela Witten

Daniela Witten
Daniela
Witten
she/her/hers
Professor , Biostatistics
Professor , Statistics
Dorothy Gilford Endowed Chair of Mathematical Statistics
Email
dwitten@uw.edu
About

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.

Education
PhD
Statistics
Stanford University
MS
Statistics
Stanford University
BS
Biological Sciences, Mathematics
Stanford University
Faculty Interests
Genomics
Classification Techniques
Computational Biology
Multivariate Methods
Neuroscience
Faculty Courses