News & Announcements

The department announces that the Stanford Science Fellows program is now accepting applications for its 2022–2025 cohort of postdoctoral fellows. We want to encourage our community members to learn more about this important initiative.
Two new Fellows will join the Statistics Department in September: Dan Daniel Erdmann-Pham and recent PhD graduate Michael Benjamin Sklar.
To all of our graduates of Statistics Masters, Data Science Masters and Statistics Doctoral degree programs:

Upcoming Seminars & Events

October
26
  4:30pm
  Hewlett 102
  Adityanand Guntuboyina, UC Berkeley
November
1
  4:00pm
  Sequoia 200
  Promit Ghosal, MIT/MSRI
November
2
  4:30pm
  Hewlett 102
  Stefan Wager, Stanford Statistics
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Graduate Admissions Deadlines for 2022-23

  • PhD:  December 1, 2021 (Wednesday)
  • MS: December 1, 2021 (Wednesday)
  • Data Science MS: December 1, 2021 (Wednesday)
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Industrial Affiliates

Our IA Program develops practical relationships between the department and the industrial community by creating opportunities for scientists, engineers, and developers from high-profile businesses to meet with our graduate students and share research topics in an informal setting. The annual conference for members, faculty, and final-year PhD candidates is a highlight event in our academic year.

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Faculty Search

We are currently looking to fill the following appointment(s):

Stein Fellow in Statistics or Probability

The Statistics Department seeks applicants for a non-tenure track Stein Fellow position, for two years with possible extension to three years. Evaluation of applicants will begin 15 NOV 21; applications must be received by 10 DEC 21.

Associate or Full Professor (Teaching) in Data Science

The Statistics Department invites applications for a position at the Associate or Full Professor (Teaching) level in Data Science, with initial appointment of up to 6 years. Evaluation of applicants will begin 16 NOV 21; applications must be received by 11 DEC 21.

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Candès on The Future of Everything

Stanford Engineering's The Future of Everything podcast recently invited Emmanuel to talk about the weight of uncertainty in highly consequential predictive models. His half-hour interview is available for listening or watching, with the video recorded for YouTube.

Recent Technical Reports