Peter Bartlett

Peter Bartlett is a Professor in the Department of Electrical Engineering and Computer Sciences and the Department of Statistics at the University of California, Berkeley. He also serves as Head of Google Research Australia and Director of the Foundations of Data Science Institute and the Collaboration on the Theoretical Foundations of Deep Learning. His research focuses on machine learning, statistical learning theory, and related areas such as pattern classification, adaptive control, and reinforcement learning.

Bartlett earned a Ph.D. in Electrical Engineering from the University of Queensland, Australia (1992). He has held roles including Associate Director of the Simons Institute for the Theory of Computing and visiting positions at institutions like the University of Paris and the Australian National University.

His contributions include co-authoring Neural Network Learning: Theoretical Foundations and pioneering work on AdaBoost, online learning, and high-order Langevin diffusion. He has been recognized with awards like the Malcolm McIntosh Prize (2001), ACM Fellowship (2018), and election to the Australian Academy of Science (2015).

Bartlett advises numerous students and collaborates on grants related to theoretical foundations of machine learning. His leadership in research institutes and editorial roles at journals like Journal of Machine Learning Research underscores his impact on the field.