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Draft:Ryan Tibshirani

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Ryan J. Tibshirani
Born (1985-12-15) December 15, 1985 (age 39)
Toronto, Canada
Alma materStanford University (BS, PhD)
Known forGeneralized lasso, trend filtering, conformal prediction
AwardsCOPSS Presidents' Award (2023); Mortimer Spiegelman Award (2022); Fellow of the Institute of Mathematical Statistics (2022); NSF CAREER Award (2016)
Scientific career
FieldsStatistics, machine learning
InstitutionsUniversity of California, Berkeley
ThesisThe Solution Path of the Generalized Lasso (2011)
Doctoral advisorJonathan Taylor
Websitewww.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]

Early life and education

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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

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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

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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 distribution-free predictive inference (conformal prediction) and to epidemic modeling and forecasting.[2]

Awards and honors

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  • COPSS Presidents' Award (2023)[2][16]
  • Mortimer Spiegelman Award, American Public Health Association (2022).[17][18]
  • Fellow, Institute of Mathematical Statistics (2022).[19][20]
  • NSF CAREER Award (2016).[21]
  • AAPOR Policy Impact Award and Warren J. Mitofsky Innovators Award (both 2022), as part of the COVID-19 Trends and Impact Survey (Delphi Group/UMD/Meta) team.[22][23]
  • ASA Statistical Partnerships Among Academe, Industry, and Government (SPAIG) Award (2021), with the Delphi COVIDcast collaborators.[24][25]
  • Carnegie Mellon University Teaching Innovation Award (2017).[26]

Personal life

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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] He is married to Jessica Isner and they have two children. Tibshirani enjoys playing piano and writing music.[28]

Selected publications

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  • 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.
  • 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.
  • Wang, Yu-Xiang; Smola, Alex J.; Tibshirani, Ryan J. (2016). "Trend Filtering on Graphs". Journal of Machine Learning Research. 17: 1–41.
  • Barber, Rina Foygel; Candès, Emmanuel J.; Ramdas, Aaditya; Tibshirani, Ryan J. (2021). "Predictive inference with the jackknife+". Annals of Statistics. 49 (1): 486–507. doi:10.1214/20-AOS1965.
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References

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  1. ^ a b "Tibshirani Named Chair". UC Berkeley Statistics. June 18, 2025. Retrieved August 8, 2025.
  2. ^ a b c d "Ryan Tibshirani wins the prestigious 2023 COPSS Presidents' Award". Institute of Mathematical Statistics. August 31, 2023. Retrieved August 8, 2025.
  3. ^ a b "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). "Measuring the impact of COVID-19 containment policies on mobility in the United States". 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. ^ "Other". UC Berkeley. Retrieved August 9, 2025.
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