Peter Bartlett is a professor in the Department of Electrical
Engineering and Computer Sciences and the Department of Statistics at
the University of California at Berkeley, Director of the Foundations
of Data Science Institute, Director of the Collaboration on the
Theoretical Foundations of Deep Learning, and Head of Google Research
Australia. His research interests include machine learning and
statistical learning theory. He is the co-author, with Martin Anthony,
of the book Neural Network Learning: Theoretical Foundations. He has
served as an associate editor of the journals Bernoulli, Mathematics
of Operations Research, the Journal of Artificial Intelligence
Research, the Journal of Machine Learning Research, the IEEE
Transactions on Information Theory, Machine Learning, and Mathematics
of Control Signals and Systems, and as program committee co-chair for
COLT and NeurIPS. He has consulted to a number of organizations,
including Google, General Electric, Telstra, SAC Capital Advisors, and
Sentient. From 2017 to 2022, he served as Associate Director of the
Simons Institute for the Theory of Computing at UC Berkeley. He has
been a Professor in Mathematical Sciences at the Queensland University
of Technology (2011-2017), a Miller Institute Visiting Research
Professor in Statistics and Computer Science at U.C. Berkeley (Fall
2001), a fellow, senior fellow, and professor in the Research School
of Information Sciences and Engineering at the Australian National
University's Institute for Advanced Studies (1993-2003), an honorary
professor at the University of Queensland and a visiting professor at
the University of Paris. He was awarded the Malcolm McIntosh Prize for
Physical Scientist of the Year in Australia in 2001, and was chosen as
an Institute of Mathematical Statistics Medallion Lecturer in 2008, an
IMS Fellow and Australian Laureate Fellow in 2011, and a Fellow of the
ACM in 2018. He was elected to the Australian Academy of Science in
2015.