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, information theoretic aspects of statistical learning, and tradeoffs between real-world resources and statistical efficiency. He has won a number of awards and fellowships, including best paper awards at the Neural Information Processing Systems conference, the International Conference on Machine Learning, INFORMS Applied Probability Society Best Student Paper Award, an ONR Young Investigator Award, an NSF CAREER award, a Sloan Fellowship in Mathematics, the Okawa Foundation Award, and the Association for Computing Machinery (ACM) Doctoral Dissertation Award (honorable mention).