Ryan Tibshirani

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Ryan J. Tibshirani
RyanTibshirani.jpg
Born (1985-12-15) December 15, 1985 (age 39)
Toronto, Canada
Alma mater Stanford University (BS, PhD)
Known forGeneralized lasso, trend filtering, conformal prediction, selective inference
Awards COPSS Presidents' Award (2023); Mortimer Spiegelman Award (2022); Fellow of the Institute of Mathematical Statistics (2022); NSF CAREER Award (2016)
Scientific career
FieldsStatistics, machine learning
Institutions University of California, Berkeley
Thesis The Solution Path of the Generalized Lasso  (2011)
Doctoral advisor Jonathan Taylor
Website www.stat.berkeley.edu/~ryantibs/

Ryan Joseph Tibshirani (born December 15, 1985) is a professor and chair of the Department of Statistics at the University of California, Berkeley. [1] His work spans high-dimensional statistics, nonparametric estimation, distribution-free inference, convex optimization, and epidemic tracking and forecasting. [2] [3] [4]

Contents

Early life and education

Tibshirani was born on December 15, 1985 in Toronto, Canada. He earned a B.S. in Mathematics from Stanford University in 2007 and a Ph.D. in Statistics from Stanford in 2011; his dissertation, The Solution Path of the Generalized Lasso, was advised by Jonathan Taylor. [5] [6]

Career

From 2011 to 2022, Tibshirani was a faculty member in the Department of Statistics and Department of Machine Learning at Carnegie Mellon University (CMU). [7] He joined UC Berkeley in 2022 and became department chair effective July 1, 2025. [1]

Tibshirani is a principal investigator with the Delphi Research Group, which develops public health surveillance and forecasting systems in partnership with the Centers for Disease Control and Prevention (CDC). [8] [9] [10] [11] [12]

In 2024, he became founding co-Editor-in-Chief of Foundations and Trends in Statistics with Rina Foygel Barber. [13]

Research

Tibshirani’s research focuses on methodology and theory for high-dimensional and nonparametric problems, often connecting statistical inference with convex optimization. [2] [3] He has made important contributions to regularization and sparsity methods, including the lasso, generalized lasso, and trend filtering, developing both theoretical guarantees and efficient algorithms. [14] [15] He has also contributed to selective inference, to distribution-free predictive inference (conformal prediction) and to epidemic modeling and forecasting. [2]

Awards and honors

Personal life

Ryan Tibshirani is the son of statistician Robert Tibshirani with brother Charlie Tibshirani and younger sister Julie Tibshirani, who is a co-creator of the R package Generalized Random Forest package. [27] [28] He is married to Jessica Tibshirani (née Issler) and they have two children. [28]

Selected publications

References

  1. 1 2 "Tibshirani Named Chair". UC Berkeley Statistics. June 18, 2025. Retrieved August 8, 2025.
  2. 1 2 3 4 "Ryan Tibshirani wins the prestigious 2023 COPSS Presidents' Award". Institute of Mathematical Statistics. August 31, 2023. Retrieved August 8, 2025.
  3. 1 2 "Ryan Tibshirani, Berkeley professor and Amazon Scholar, wins COPSS Presidents' Award". Amazon Science. September 2023. Retrieved August 8, 2025.
  4. "Ryan Tibshirani". UC Berkeley Statistics. Retrieved August 8, 2025.
  5. "Ryan Tibshirani". Stanford Department of Statistics. Retrieved August 8, 2025.
  6. Tibshirani, Ryan J. (2011). The Solution Path of the Generalized Lasso (PDF) (PhD thesis). Stanford University.
  7. "Ryan Tibshirani (archived CMU profile)". Carnegie Mellon University. Retrieved August 8, 2025.
  8. "Delphi Group Awarded $17.5 million from CDC". UC Berkeley Statistics. November 15, 2023. Retrieved August 8, 2025.
  9. "Unveil interactive COVID-19 tracking at county level". Medical Xpress. April 17, 2020. Retrieved August 8, 2025.
  10. "Facebook and Google share data to forecast coronavirus". MIT Technology Review. April 9, 2020. Retrieved August 8, 2025.
  11. Rosenfeld, R.; Tibshirani, R. J. (2021). "Epidemic tracking and forecasting: Lessons learned from a tumultuous year". Proceedings of the National Academy of Sciences. 118 (26). doi: 10.1073/pnas.2111456118 . PMC   8713795 . PMID   34903658.
  12. "Epidemiological forecasting through data science: the Delphi Group at Carnegie Mellon". EurekAlert!. June 2020. Retrieved August 8, 2025.
  13. "Foundations and Trends in Statistics — Editorial Board". Now Publishers. Retrieved August 8, 2025.
  14. See, e.g., Tibshirani, Ryan J. (2014). "Adaptive piecewise polynomial estimation via trend filtering". Annals of Statistics. 42 (1): 285–323. arXiv: 1304.2986 . doi:10.1214/13-AOS1189.; and Wang, Yu-Xiang; Smola, Alex J.; Tibshirani, Ryan J. (2016). "Trend Filtering on Graphs". Journal of Machine Learning Research. 17: 1–41..
  15. Tibshirani, Ryan J.; Taylor, Jonathan (2011). "The solution path of the generalized lasso" (PDF). Annals of Statistics. 39 (3): 1335–1371. doi:10.1214/11-AOS878.
  16. "Presidents' Award". Committee of Presidents of Statistical Societies. Retrieved August 8, 2025.
  17. "Mortimer Spiegelman Award — Past Winners". APHA Applied Public Health Statistics Section. Retrieved August 8, 2025.
  18. "Ryan Tibshirani Recipient of the 2022 Mortimer Spiegelman Award". UC Berkeley Statistics. August 30, 2022. Retrieved August 8, 2025.
  19. "2022 IMS Fellows Announced". Institute of Mathematical Statistics. April 22, 2022. Retrieved August 8, 2025.
  20. "Rinaldo and Tibshirani Selected as 2022 IMS Fellows". Carnegie Mellon University. April 25, 2022. Retrieved August 8, 2025.
  21. "Two CMU Statistics Professors Earn NSF CAREER Awards". Carnegie Mellon University. February 22, 2016. Retrieved August 8, 2025.
  22. "2022 Award Winners". AAPOR. December 7, 2022. Retrieved August 8, 2025.
  23. "Delphi Group, University of Maryland, Meta Honored for AAPOR Awards". CMU School of Computer Science. April 20, 2022. Retrieved August 8, 2025.
  24. "Delphi Research Group, Collaborators Honored for COVIDcast". Carnegie Mellon University. May 12, 2021. Retrieved August 8, 2025.
  25. "2021 SPAIG Award" (PDF). Amstat News. October 2021. Retrieved August 8, 2025.
  26. "Teaching Innovation Award – Past Recipients". Carnegie Mellon University. Retrieved August 8, 2025.
  27. "Generalized Random Forest" . Retrieved August 9, 2025.
  28. 1 2 "Other". UC Berkeley. Retrieved August 9, 2025.