Professor Peter Bartlett is a pioneer in statistical learning theory, which is at the interface of computer science and statistics, and is focused on the science behind large, complex statistical decision problems. He has created the theoretical foundations for many key advances in statistical machine learning. Peter’s contributions include analysing large margin classifiers (a successful family of computationally efficient methods for classifying patterns), developing and analysing statistical learning methods based on convex optimisation, and developing new techniques for analysing the performance of prediction methods.