Scholar
Trevor Hastie
Google Scholar ID: tQVe-fAAAAAJ
Professor of Statistics, Stanford University
Citations & Impact
Citations
195,106
H-index
116
i10-index
345
Publications
20
Co-authors
32
list available
Contact
No contact links provided.
Publications
Cited
0
Resume (English only)
Academic Achievements
- Awarded the C.R. and Bhargavi Rao prize in 2025; co-authored 'Introduction to Statistical Learning, with Applications in Python' (published in 2023); co-authored 'Introduction to Statistical Learning, with applications in R (2nd edition)' (published in 2021); developed and updated online courses 'Statistical Learning with R' and 'Statistical Learning with Python'; developed glmnet 4.0 software package; co-authored 'Computer Age Statistical Inference' with Bradley Efron.
Research Experience
- Served at Stanford University's Department of Statistics and the Department of Biomedical Data Science from 1994-2025; worked at AT&T Bell Laboratories for 9 years.
Education
- No specific educational background information provided, such as degrees, schools, or advisors.
Background
- The John A. Overdeck Professor, Professor of Statistics, and Emeritus Professor of Biomedical Data Science at Stanford University. Held a joint appointment in the Department of Statistics at Stanford University and the Department of Biomedical Data Science in the Stanford School of Medicine from 1994-2025. Previously, he was a member of the technical staff at AT&T Bell Laboratories for 9 years. He is a member of the United States National Academy of Sciences and a dual citizen of the United States and South Africa.
Miscellany
- Contributed significantly to the field of statistics, including interviews with renowned scholars such as Sir David Cox.
