Trevor Hastie was born in South Africa in 1953. He received his
university education from Rhodes University, South Africa (BS),
University of Cape Town (MS), and Stanford University (Ph.D Statistics
1984).

His first employment was with the South African Medical Research
Council in 1977, during which time he earned his MS from UCT. In 1979
he spent a year interning at the London School of Hygiene and Tropical
Medicine, the Johnson Space Center in Houston Texas, and the Biomath
department at Oxford University. He joined the Ph.D program at
Stanford University in 1980. After graduating from Stanford in 1984,
he returned to South Africa for a year with his earlier employer SA
Medical Research Council. He returned to the USA in March 1986 and
joined the Statistics and Data Analysis research group at what was
then AT&T Bell Laboratories in Murray Hill, New Jersey. After eight
years at Bell Labs, he returned to Stanford University in 1994 as
Professor in Statistics and Biostatistics.  He is a dual citizen of
the United States and South Africa.

His main research contributions have been in applied statistics; he
has published over 200 articles and written seven books in this area:
"Generalized Additive Models" (with R. Tibshirani, Chapman and Hall,
1991), "Elements of Statistical Learning" (with R. Tibshirani and
J. Friedman, Springer 2001; second edition 2009), "An Introduction to
Statistical Learning, with Applications in R" (with G. James,
D. Witten and R. Tibshirani, Springer 2013, second edition 2021),
"Statistical Learning with Sparsity" (with R. Tibshirani and
M. Wainwright, Chapman and Hall, 2015), "Computer Age Statistical
Inference" (with Bradley Efron, Cambridge 2016, "student" edition
2021), and "An Introduction to Statistical Learning, with Applications
in Python" (with G. James, D. Witten, R. Tibshirani and J. Taylor,
Springer 2023). 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 foundation for much of the
statistical modeling in R. His current research focuses on applied
statistical modeling and prediction problems in biology and genomics,
medicine and industry.

Awards and Honors
2013 Named the John A. Overdeck Professor of Mathematical Sciences, Stanford University.
2015 Recipient of 2015 Rhodes University Distinguished Alumni Award.
2018 Elected to the United States National Academy of Sciences.
2018 Honorary Doctorate, Leuphana University, Germany.
2019 Recipient of Sigillum Magnum, University of Bologna, Italy.
2019 Elected to the Royal Netherlands Academy of Arts and Science.
2020 Senior Breiman Award, American Statistical Association.
2023 Honorary Doctor of Mathematics, University of Waterloo, Canada.