| Titels | Prof. |
| Initials | T.J. |
| Main position | Hoogleraar Stanford University |
| Disciplines | Bioinformatics, biomathematics |
| Technology in medicine and health care | |
| Artificial intelligence, expert systems | |
| Ecology | |
| Probability theory, statistics | |
| Software, algorithms, control systems | |
| Epidemiology and medical statistics | |
| Chair | Toegepaste statistiek |
| Domain | Natural Sciences and Engineering |
| Membership | Foreign Member |
| Since | 2019 |
| Foreign Member of Natural Sciences and Engineering | |
| Employed by |
Stanford University, Department of Statistics
Sequoia Hall 390 Serra Mall CA 94305-4020 Stanford United States of America tel. +1 650 725 2231 hastie@stanford.edu |
| Personal website |
Trevor Hastie’s many books and articles are compulsory reading for apprentice data scientists. Hastie was one of the first to grasp the potential of computers for data analysis. He played a key role in the application of modern, computer-intensive statistical methods and it is thanks to him that researchers are increasingly able to tackle ever more complex data issues. For example, he helped to design R, the most widely used free software environment for statistical computing and graphics and the academic gold standard for data analysis in numerous domains. His name is associated with innovative machine learning methods, including ‘generalised additive models’, ‘elastic net’, ‘graphical LASSO’ and ‘principal curves’.