معرفی
Robert Tibshirani is a Professor at Stanford University, holding joint appointments in the Department of Statistics and Department of Biomedical Data Science. He is also affiliated with Bio-X, a multidisciplinary research group.
- Co-author of foundational texts: Generalized Additive Models, An Introduction to the Bootstrap, and Elements of Statistical Learning
- Developer of influential statistical software packages like glmnet, lasso, and selectiveInference in R and MATLAB
- Recipient of prestigious awards: WNAR Outstanding Impact Award (2024) and COPSS Distinguished Achievement Award
Research Focus:
Tibshirani specializes in applied statistics, biostatistics, and data mining. His work spans methodologies like the Lasso and its extensions, with applications in genomics, proteomics, and medical research. He has pioneered techniques for post-selection inference, survival analysis, and high-dimensional data problems.
Awards:
• 2024: WNAR Outstanding Impact Award
• 2024: COPSS Distinguished Achievement Award
Students:
• Erin Craig
• Daisy Ding
• Hui Xu
Key Collaborations:
Partnered with Trevor Hastie, Bradley Efron, and Balasubramanian Narasimhan on software development and theoretical advancements. His work has been supported by grants from the National Science Foundation and National Institutes of Health.
