Peter Bartlett is a professor in the Computer Science Division and Department of Statistics at the University of California at Berkeley, and professor in Mathematical Sciences at the Queensland University of Technology. He is the co-author, with Martin Anthony, of the book Learning in Neural Networks: Theoretical Foundations, has edited four other books, and has co-authored many papers in the areas of machine learning and statistical learning theory. He has served as an associate editor of the journals Machine Learning, Mathematics of Control Signals and Systems, the Journal of Machine Learning Research, the Journal of Artificial Intelligence Research, and the IEEE Transactions onInformation Theory, as a member of the editorial boards of Machine Learning, the Journal of Artificial Intelligence Research, and Foundations and Trends in Machine Learning, and as program committeeco-chair for the 1998 Conference on Computational Learning Theory and the 2011 Neural Information Processing Systems Conference. He has consulted to a number of organizations, including General Electric, Telstra, and SAC Capital Advisors. He has been a Miller Institute Visiting Research Professor in Statistics and Computer Science at U.C. Berkeley, a professor in the Research School of Information Sciences and Engineering at the Australian National University's Institute for Advanced Studies, and an honorary professor at the University of Queensland. He was awarded the Malcolm McIntosh Prize for Physical Scientist of the Year in Australia in 2001, and was chosen as an IMS Medallion Lecturer in 2008, and an IMS Fellow and Australian Laureate Fellow in 2011. His research interests include machine learning, statistical learning theory, and adaptive control.