Trevor Hastie
Maintainer of the glmnet package and co-author of The Elements of Statistical Learning; Stanford emeritus
- The John A. Overdeck Professor, Professor of Statistics, Professor of Biomedical Data Science, Emeritus, Stanford University1
Trevor Hastie is the John A. Overdeck Professor and Professor of Statistics and of Biomedical Data Science, Emeritus, at Stanford University, where Hastie held a joint appointment from 1994 to 2025 after nine years at AT&T Bell Laboratories. Hastie is an author and the maintainer of glmnet, the R package for lasso and elastic-net regularized generalized linear models, whose version 5.0 replaced its Fortran code with C++. With Robert Tibshirani and Jerome Friedman, Hastie wrote The Elements of Statistical Learning, and the authors offer the book as a PDF download; Hastie also co-wrote An Introduction to Statistical Learning, in R and Python editions.1245
Work
glmnet (external site: glmnet.stanford.edu)Open-source code
Listed on CRAN as an author and the maintainer of glmnet, which fits lasso and elastic-net regularized generalized linear models and is published under GPL-2. Hastie's homepage notes that glmnet 5.0 (May 2026) replaced all Fortran code with C++.231
The Elements of Statistical Learning (external site: hastie.su.domains)Published research
Co-author with Robert Tibshirani and Jerome Friedman of the book's second edition (2009); the book's site offers a PDF download.4
An Introduction to Statistical Learning (external site: statlearning.com)Published research
Co-author of the book, with editions using R and Python, and co-teacher with Robert Tibshirani of the companion Statistical Learning online courses.15
Other documented roles
Roles the sources document but that are not confirmed as current.
- Member of the technical staff, AT&T Bell Laboratories1
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