Robert Tibshirani

Robert Tibshirani is a professor of biomedical data science and statistics at Stanford University. His research develops statistical methods for understanding complex data, including regularisation, model selection and prediction. He introduced the lasso and co-authored influential books including The Elements of Statistical Learning and An Introduction to the Bootstrap. His work links statistical theory with practical analysis, particularly in biomedical applications where interpretable models and careful assessment of predictive performance matter.

What Statistical Learning Still Teaches Us About Reliable AI

Statistical learning, regularisation and reliable prediction