John Duchi is an assistant professor of Statistics and Electrical Engineering and (by courtesy) Computer Science at Stanford University, with graduate degrees from UC Berkeley and undergraduate degrees from Stanford. His work focuses on large scale optimization problems arising out of statistical and machine learning problems, robustness and uncertain data problems, and information theoretic aspects of statistical learning. He has won a number of awards and fellowships, including best paper awards at Neural Information Processing Systems, the International Conference on Machine Learning, an NSF CAREER award, a Sloan Fellowship in Mathematics, and the Okawa Foundation Award.