Robert Tibshirani FRS FRSC (born July 10, 1956) is a professor in the Departments of Statistics and Biomedical Data Science at Stanford University.

His most well-known contributions are the Lasso method, which proposed the use of L1 penalization in regression and related problems, and Significance Analysis of Microarrays.

[3] Tibshirani was made the 2012 Statistical Society of Canada's Gold Medalist at their yearly meeting in Guelph, Ontario for "exceptional contributions to methodology and theory for the analysis of complex data sets, smoothing and regression methodology, statistical learning, and classification, and application areas that include public health, genomics, and proteomics".

Tibshirani was named as the 2021 recipient of the ISI Founders of Statistics Prize for his 1996 paper Regression Shrinkage and Selection via the Lasso.

His son, Ryan Tibshirani,[5] with whom he occasionally publishes scientific papers, is a professor at UC Berkeley in the Department of Statistics.