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

May 2024. I am saddened by the passing of Jim Simons (1938–2024). I am sharing some memories.

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

- Y. Zhang
- E. J. Candès
Posterior conformal prediction. 2024.
- P. T. Nobel
- D. LeJeune
- E. J. Candès
RandALO: Out-of-sample risk estimation in no time flat. 2024.
- Z. Yang
- N. Band
- S. Li
- E. Candès
- T. Hashimoto
Synthetic continued pretraining. 2024.
- K. Gligorić
- T. Zrnic
- C. Lee
- E. J. Candès
- D. Jurafsky
Can unconfident LLM annotations be used for confident conclusions?. 2024.
- J. J. Cherian
- I. Gibbs
- E. J. Candès
Large language model validity via enhanced conformal prediction methods. Advances in neural information processing systems 37 (NeurIPS 2024), proc. 38th conference on neural information processing systems (NeurIPS), vancouver, BC, dec 9-15. forthcoming. 2024.
- R. Xie
- R. F. Barber
- E. J. Candès
Boosted conformal prediction intervals. Advances in neural information processing systems 37 (NeurIPS 2024), proc. 38th conference on neural information processing systems (NeurIPS), vancouver, BC, dec 9-15. forthcoming. 2024.
- A. Spector
- R. F. Barber
- T. Hastie
- R. N. Kahn
- E. Candès
The mosaic permutation test: An exact and nonparametric goodness-of-fit test for factor models. 2024.
- Z. He
- B. Chu
- J. Yang
- J. Gu
- Z. Chen
- L. Liu
- T. Morrison
- M. E. Belloy
- X. Qi
- N. Hejazi
- M. Mathur
- Y. L. Guen
- H. Tang
- T. Hastie
- I. Ionita-laza
- C. Sabatti
- E. Candès
In silico identification of putative causal genetic variants. bioRxiv. 2024.
- T. Zrnic
- E. J. Candès
Active statistical inference. Proceedings of the 41st international conference on machine learning. 2024.
- E. Zeger
- Y. Wang
- A. Mishkin
- T. Ergen
- E. Candès
- M. Pilanci
A library of mirrors: Deep neural nets in low dimensions are convex lasso models with reflection features. SIAM Journal on Mathematics of Data Science. submitted. 2024.
- Z. Chen
- Z. He
- B. B. Chu
- J. Gu
- T. Morrison
- C. Sabatti
- E. Candès
Controlled variable selection from summary statistics only? A solution via GhostKnockoffs and penalized regression. 2024.