Keynote: Selective Inference on Trees

Daniela Witten, Keynote: "Selective inference on trees"
Professor, University of Washington
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, a David Byar Award, a Gertrude Cox Scholarship, and an NDSEG Research Fellowship. She is also the recipient of the Spiegelman Award from the American Public Health Association for a statistician under age 40 who has made outstanding contributions to statistics for public health and the Leo Breiman Award for contributions to the field of statistical machine learning. She is a Fellow of the American Statistical Association, and an Elected Member of the International Statistical Institute. Daniela is a co-author of “Introduction to Statistical Learning”. Daniela completed a BS in Math and Biology with Honors and Distinction at Stanford University in 2005, and a Ph.D. in Statistics at Stanford University in 2010. www.danielawit... / daniela_witten
04/Aug/2021 - 13:29