Peter Bartlett is Associate Director of the Simons Institute, and a professor in the Division of Computer Science and Department of Statistics at the University of California at Berkeley. He is the co-author, with Martin Anthony, of the book Learning in Neural Networks: Theoretical Foundations, has edited three other books, and has co-authored many papers in the areas of machine learning and statistical learning theory. In 2001, he was awarded the Malcolm McIntosh Prize for Physical Scientist of the Year in Australia for his work in statistical learning theory. He was a Miller Institute Visiting Research Professor in Statistics and Computer Science at UC Berkeley in 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 from 1993 to 2003, and an honorary professor in the School of Information Technology and Electrical Engineering at the University of Queensland, where he also obtained his PhD in 1992. His research interests include machine learning, statistical learning theory, and adaptive control.
- Foundations of Data Science, Fall 2018. Visiting Scientist.
- Foundations of Machine Learning, Spring 2017. Visiting Scientist, Program Organizer and Workshop Organizer.
- Algorithms and Uncertainty, Fall 2016. Visiting Scientist.
- Information Theory, Spring 2015. Visiting Scientist.
- Algorithmic Spectral Graph Theory, Fall 2014. Visiting Scientist.