SIAM News is featuring this online article authored by David Donoho, Statistics postdoc Mahsa Lotfi, and EE PhD student Batu Ozturkler. The work is based on Donoho’s invited presentation during the virtual 2020 SIAM Conference on Mathematics of Data Science. Video of the talk – a survey of current efforts, approaches being tried, and underlying technological issues – is also available!
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About Our Department
Education in the Statistics discipline acquaints students with the role played by probabilistic and statistical ideas and methods in the many fields of science, medicine, technology, and even the humanities.
We provide instruction in the theory and application of techniques that have been found to be commonly useful, and offer advanced training through interdisciplinary and graduate programs.
News & Announcements
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. The Stein Fellowship is designed to be a career-building...Ya Xu named on Fortune 40 Under 40
Fortune's list of 40 emerging leaders is revamped for 2020 to highlight influential people in five separate categories: finance, technology, healthcare, government and politics, and media and...New Stein Fellow for 2020
The Statistics Department welcomes Paromita Dubey to our newest Stein Fellow appointment beginning September 1st. Paromita just completed her posting as Postdoctoral Scholar with the Department of...ASA 2020 Breiman Senior Award for Trevor Hastie
The Statistical Learning and Data Science Section of the American Statistical Association has selected Trevor for their award named in honor of Professor Leo Breiman. Breiman's work helped to bridge...Admissions Info
Statistics PhD and MS Application Deadlines
Graduate Admissions deadlines for Autumn 2021-2022
PhD: December 1, 2020
MS: December 1, 2020
Data Science MS: December 1, 2020
Recent Tech Reports
Upcoming Seminars
Mon 21 Sep | Probability Seminar
Jason Schweinsberg
A Gaussian particle distribution for branching Brownian motion with an inhomogeneous branching rate
Industrial Affiliates
Our IA Program develops practical relationships between the department and the industrial community by creating opportunities for scientists, engineers, and researchers in local companies to meet with our graduate students in an informal setting. The program offers a variety of benefits, including the annual workshop and faculty visits to member organizations.
IA Members:
- Baidu Research
- BlackRock
- Citadel and Citadel Securities
- Stitch Fix
- Two Sigma Investments LLC
