John C. Duchi is an associate professor at Stanford University, holding appointments in the Departments of Statistics and Electrical Engineering, with a courtesy appointment in Computer Science. He earned his PhD in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in 2014. His research interests encompass statistical learning, optimization, information theory, and computation. He focuses on developing statistical learning procedures that optimally balance resources such as computation, communication, and privacy, while maintaining statistical efficiency. Additionally, he aims to create efficient large-scale optimization methods and develop tools to assess and ensure the validity of machine-learned systems.

Throughout his career, John Duchi has received numerous awards and honors, including best paper awards at the Neural Information Processing Systems conference, the International Conference on Machine Learning, and the International Conference on Learning Theory. He has also been recognized with the Society for Industrial and Applied Mathematics (SIAM) Early Career Prize in Optimization, an Office of Naval Research (ONR) Young Investigator Award, an NSF CAREER award, a Sloan Fellowship in Mathematics, and the Okawa Foundation Award.