Rob Tibshirani

Robert Tibshirani is a Professor of Biomedical Data Science, and of Statistics at Stanford University. He has made important contributions to the statistical analysis of complex datasets. Some of his most well-known contributions are the Lasso, which uses L1 penalization in regression and related problems, generalized additive models, and Significance Analysis of Microarrays (SAM). He also co-authored five widely used books: ‘Generalized Additive Models,’ ‘An Introduction to the Bootstrap,’ ‘The Elements of Statistical Learning,’ ‘An Introduction to Statistical learning,’ and ‘Sparsity in Statistics: Lasso and its generalizations.’ He received the COPSS Presidents' Award in 1996 and was elected a Fellow of the Royal Society of Canada in 2001, the National Academy of Sciences in 2012, and the Royal Society of Britain in 2019. In 2021, he received the ISI Founders Prize for his paper Regression Shrinkage and Selection via the Lasso. In 2024, he received the COPSS Distinguished Achievement Award.