Trevor Hastie, formerly at AT&T Bell Laboratories, joined the
Department of Statistics at Stanford University in 1994. His 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.