Emmanuel J. Candès

Emmanuel J. Candès is the Barnum-Simons Chair in Mathematics and Statistics at Stanford University, with joint appointments in the Institute of Computational and Mathematical Engineering and as Professor of Statistics and Electrical Engineering (by courtesy). His research spans mathematical signal processing, high-dimensional statistics, and data science, focusing on compressive sensing, inverse problems, and applications to imaging sciences.

• 2021 IEEE Jack S. Kilby Signal Processing Medal
• 2020 Princess of Asturias Award for Technical and Scientific Research
• 2017 MacArthur Fellow

His recent work on conformal prediction and uncertainty quantification has advanced machine learning reliability, particularly in high-dimensional settings. Publications include breakthroughs in medical imaging, gravitational wave detection, and AI validation frameworks.

Key collaborations include Terence Tao (UCLA) and Justin Romberg (Georgia Tech) for IEEE Kilby Medal recognition. He serves as Co-chair of Stanford's Data Science Institute and previously as Statistics Department Chair (2016–2019).