Rate My Professor Robert Tibshirani

Tibshirani's research specializations include applied statistics, biostatistics, data mining, and problems in biology, genomics, medicine, and industry; he collaborates with Balasubramanian Narasimhan on software for genomics and proteomics. He co-authored key books: Generalized Additive Models (Trevor Hastie, 1990), An Introduction to the Bootstrap (Bradley Efron, 1993), The Elements of Statistical Learning (Trevor Hastie, Jerome Friedman, 2001; second edition 2009), An Introduction to Statistical Learning (Gareth James, Daniela Witten, Trevor Hastie, 2013), and Statistical Learning with Sparsity (Trevor Hastie, Martin Wainwright, 2015). Influential publications feature 'Regression Shrinkage and Selection via the Lasso' (Journal of the Royal Statistical Society Series B, 1996). His contributions to Lasso and sparsity methods have shaped high-dimensional data analysis and statistical learning, garnering over 600,000 Google Scholar citations. Major awards encompass COPSS Presidents' Award (1996), CRM-SSC Prize (2000), National Academy of Sciences election (2012), Statistical Society of Canada Gold Medal (2012), Royal Society Fellowship (2019), ISI Founders of Statistics Prize (2021), COPSS Distinguished Achievement Award and Lectureship (2024), WNAR Outstanding Impact Award (2024), and Senior Leo Breiman Award (2024). He holds editorial roles including Associate Editor for Annals of Statistics (1998–) and Annals of Applied Statistics (2006–).