Peter Bartlett
Principal Scientist at Google DeepMind
📍 Berkeley, California, United States
Peter Bartlett is a Principal Scientist at Google DeepMind and a Professor at UC Berkeley, specializing in statistical learning theory and reinforcement learning. A graduate of The University of Queensland, he is a leading voice on the theoretical foundations of machine learning and its applications.
He is a co-recipient of the 2021 ACM - AAAI Allen Newell Award for his foundational contributions to machine learning.
Read the full overview →Experience
3 Years
Current Role
Principal Scientist
Job Level
Junior
Location
Berkeley, California, United States
Personality Overview
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Priorities
Topics Peter cares about
Statistical Learning Theory
This is his core research area, for which he has received prestigious awards and published extensively on the theoretical foundations of machine learning algorithms.
Reinforcement Learning
A major focus of his recent work at Google DeepMind and UC Berkeley, exploring the principles of decision-making in complex environments.
Career
Work history
10-2023
Principal Scientist
Google DeepMind
7-2022
Head of Google Research Australia
Google
UC Berkeley
22 yrs 10 mos
In the press
Media appearances
Research keynote by Prof Peter Bartlett, Head of Google DeepMind – YouTube. Featured in YouTube
See now
Education
1989 - 1992
Doctor of Philosophy - PhD
The University of Queensland
Social presence
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