Emmanuel Candès

The Barnum-Simons Chair in Mathematics and Statistics
at Stanford University

Professor of Mathematics and of Statistics
Professor of Electrical Engineering (by courtesy)
Co-chair of Data Science Institute

Research interests

Compressive sensing, mathematical signal processing, computational harmonic analysis, statistics, scientific computing. Applications to the imaging sciences and inverse problems. Other topics of recent interest include theoretical computer science, mathematical optimization, and information theory.

News

November 2020. The IEEE Board of Directors has selected me along with Terence Tao and Justin Romberg to receive the 2021 IEEE Jack S. Kilby Signal Processing Medal.

October 2020. I received the 2020 Princess of Asturias Award for Technical and Scientific Research from the Spanish Royal Family. A broadcast of the Award Ceremony is here.

October, 2018. I am currently serving as the director of the Data Science Institute.

October, 2017. I have been named a MacArthur Fellow.

January 1st, 2016. I am serving a three-year term as Statistics Department Chair.

Recent publications

- P. Nobel
- E. Candès
- S. Boyd
Tractable evaluation of stein’s unbiased risk estimator with convex regularizers. 2022.
- Y. Jin
- E. J. Candès
Selection by prediction with conformal p-values. 2022.
- Q. Zhao
- E. J. Candès
An adaptively resized parametric bootstrap for inference in high-dimensional generalized linear models. 2022.
- I. Gibbs
- E. Candès
Conformal inference for online prediction with arbitrary distribution shifts. 2022.
- R. F. Barber
- E. J. Candès
- A. Ramdas
- R. J. Tibshirani
Permutation tests without subgroups. 2022.
- R. F. Barber
- E. J. Candès
- A. Ramdas
- R. J. Tibshirani
Conformal prediction beyond exchangeability. 2022.
- Z. He
- L. Liu
- M. E. Belloy
- Y. Le Guen
- A. Sossin
- X. Liu
- X. Qi
- S. Ma
- T. Wyss-Coray
- H. Tang
- C. Sabatti
- E. Candes
- M. D. Greicius
- I. Ionita-Laza
Summary statistics knockoff inference empowers identification of putative causal variants in genome-wide association studies. bioRxiv. 2021.
- Y. Jin
- Z. Ren
- E. J. Candès
Sensitivity analysis of individual treatment effects: A robust conformal inference approach. 2021.
- A. N. Angelopoulos
- S. Bates
- E. J. Candès
- M. I. Jordan
- L. Lei
Learn then test: Calibrating predictive algorithms to achieve risk control. 2021.