We are the UC Berkeley Department of Statistics, known for award-winning faculty, cutting-edge research and innovations in instruction.

Berkeley, CA
Joined February 2021
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. #Statistics #CS #FacultyJobs #UCBerkeley
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UC Berkeley College of Computing, Data Science, and Society invites applicants for open faculty positions. #Biomedicine #ComputationalBiology #ComputerScience #MaterialsScience #Statistics #DataScience bit.ly/3OjKH3J @UCBerkeley @UCSF @UCBStatistics @Berkeley_EECS
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Faculty member @philipbstark was recently quoted in a @ScienceMagazine article about an AI agent independently contacting researchers. Exclusive: An AI agent emailed hundreds of researchers for help. It told us why | Science | AAAS science.org/content/article/… #BerkeleyStats
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Faculty member @wfithian co-authored the study. #BerkeleyStats
A recent report co-authored by UC Berkeley scholars finds a global, hardwired pause of frontier AI training is feasible. The researchers’ proposal offers a potential path to reducing AI risks through international cooperation and verifiable safeguards. bit.ly/4jhZoVY
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UC Berkeley Department of Statistics is hiring! We’re seeking applicants for a tenure-track Assistant Professor position in Statistics, Probability, and Data Science. Details & apply: aprecruit.berkeley.edu/JPF05… #BerkeleyStats #Probability #DataScience #FacultyJobs #UCBerkeley
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The 2026 Myles Hollander Distinguished Lecture, hosted by @StatisticsFSU, is only one month away! 🤩 This year's speaker is Bin Yu, the Chancellor’s Distinguished Professor in the Departments of Statistics and Electrical Engineering and Computer Sciences at @UCBerkeley. The lecture, titled "Veridical Data Science Towards Trustworthy AI," will explore human judgement's role in the data science life cycle. Yu will introduce how three fundamental principles — predictability, computability and stability — can more clearly identify potential uncertainties and risks in AI algorithms. 🗓️ Friday, Nov. 6 ⏰ 2 p.m. 📍 Chemical Sciences Building Auditorium For more info on this year's event, including virtual attendance registration, visit: fla.st/ADO58YF7. @FloridaState @UCBStatistics @Berkeley_EECS
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2026 Berkeley Statistics Annual Research Symposium Join us for BSTARS, a gathering for the UC Berkeley Statistics department and friends, featuring a keynote speech by Professor Yun Song. November 4 - Gateway 5th floor event space docs.google.com/forms/d/e/1F… #BerkeleyStats
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The International Balzan Foundation recognized faculty member Rasmus Nielsen with its 2026 Balzan Prize for Molecular Evolution. ls.berkeley.edu/news/rasmus-… #BerkeleyStats
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Berkeley Statistics Homecoming Mixer 2026 Friday, October 9th, 3-5pm at the South Courtyard of the Gateway Join Statistics faculty, students, alums, donors, and friends for a mixer at UC Berkeley’s homecoming weekend! RSVP required: docs.google.com/forms/d/e/1F… #BerkeleyStats
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UC Berkeley researchers create a new AI model for DNA to unlock secrets of the human genome. 🔗 bit.ly/4r0jKoi @yun_s_song @UCBerkeley @UCBStatistics @Berkeley_EECS @Nature #Health #DNA #Genomics #ComputationalBiomedicine #AI #Berkeley #UCBerkeley
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Amanda L. Golbeck,  Ph.D. '83 recently appeared on the Stats + Stories podcast, where she spoke about two of the department's founders, Elizabeth Scott and F.N. David. statsandstories.net/society1… #BerkeleyStats
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Welcome to @uuujingfeng and Kevin Yang! #BerkeleyStats
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Last week, Statistics faculty member Andrew Bray gave the very first lecture in the new Barbara and Gerson Bakar Gateway. One of many more to come here in our new home! #BerkeleyStats Photo: Kayla Sim
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Assistant Professor Amanda Coston has been awarded a significant research grant by the Hellman Foundation. statistics.berkeley.edu/abou… #BerkeleyStats
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Why We Don’t Need More Data Centers to Build Better AI In a recent Berkeley News interview, Statistics faculty member Fernando Pérez discussed the future of AI and smaller, more efficient open-source technologies. #BerkeleyStats
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