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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. Her research investigates the use of machine learning to understand high-dimensional data.
Daniela Witten. High-dimensional data, in which the number of features exceeds the number of observations, results in both theoretical and methodological challenges. We develop approaches to overcome these challenges by exploiting structure in the data or in the underlying model.
Daniela Witten elected Fellow of the Institute of Mathematical Statistics April 4, 2022 UW to lead new NSF institute for using artificial intelligence to understand dynamic systems
Daniela Witten. Professor of Statistics & Biostatistics, Dorothy Gilford Endowed Chair, University of Washington.
Daniela M Witten (she/her) Professor, University of Washington Dorothy Morrow Gilford Endowed Chair in Mathematical Statistics
Daniela Witten is a professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statistics. She develops statistical machine learning methods for high-dimensional data, with a focus on unsupervised learning.
Daniela M Witten. Professor, Statistics. Professor, Biostatistics. Dorothy Morrow Gilford Endowed Chair in Mathematical Statistics, Statistics. University of Washington. Box 357232. Seattle, WA - dwitten@uw.edu. Research Interests. High dimensional data analysis and machine learning, with applications to genomics and statistical genetics.
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