Trevor Hastie is Chairman and Professor, Department of Statistics at Stanford University. Hastie began his career in the statistics and data analysis research group at AT&T Bell Laboratories. After 9 years with Bell Labs, he returned to Stanford University in 1994 as Professor in Statistics and Biostatistics. Hastie’s main research contributions have been in the field of applied nonparametric regression and classification, and he has written two books in this area: “Generalized Additive Models” (with R. Tibshirani, Chapman and Hall, 1991), and “Elements of Statistical Learning” (with R. Tibshirani and J. Friedman, Springer 2001).
He has also made contributions in statistical computing, co-editing (with J. Chambers) a large software library on modeling tools in the S language (“Statistical Models in S”, Wadsworth, 1992), which form the basis for much of the statistical modeling in R and S-plus. His current research focuses on applied problems in biology and genomics, medicine and industry, in particular data mining, prediction and classification problems. Hastie holds a B.S. from Rhodes University, M.S. from University of Cape Town and a Ph.D. from Stanford University.