Daniela Witten, professor of statistics and biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statistics, has been elected a Fellow of the Institute of Mathematical Statistics (IMS), a recognition for her 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.
Witten says, “I am honored to receive this recognition from IMS, and look forward to continued involvement in the IMS community in the years to come.”
The designation of IMS Fellow has been a significant honor for over 85 years.
Witten is invited to be honored in London at the IMS Presidential Address and Awards Ceremony held during the organization's annual meeting in June 2022.
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 is the recipient of an NIH Director’s Early Independence Award, a Sloan Research Fellowship, an NSF CAREER Award, a Simons Investigator Award in Mathematical Modeling of Living Systems, and the Mortimer Spiegelman Award. She is also a co-author of the popular textbook Introduction to Statistical Learning.
