Philip Ball in

Philip Ball

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Google DeepMind at Full-time
📍 London, England, United Kingdom

Philip is a Research Scientist at Google DeepMind, where he is a core contributor to the Genie generative video model project. His expertise lies in reinforcement learning and high-fidelity world models. He holds a PhD from the University of Oxford and was a visiting student researcher at the University of California, Berkeley.

Outside of his research, Philip enjoys playing the bass guitar and reading. He speaks Mandarin with relative fluency, which has enabled him to work for extended periods in both China and Hong Kong, demonstrating a deep interest in cross-cultural experiences.

He is a fluent Mandarin speaker and plays the bass guitar in his spare time.

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Experience
1 Years
Current Role
Google DeepMind
Location
London, England, United Kingdom
Personality Overview

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Priorities

Topics Philip cares about

Generative Video Models
As a core contributor to the Genie 2 and Genie 3 projects at Google DeepMind, he is at the forefront of developing large-scale foundation world models.
Reinforcement Learning
Much of his academic and professional research, including his PhD thesis and work at Microsoft, focuses on continual and offline reinforcement learning.
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Career

Work history

Google DeepMind
Full-time
6-2021 - 9-2021
Research Intern
Waymo
6-2020 - 8-2020
Research Intern
Microsoft
9-2018 - 9-2019
AI Resident
Microsoft
Accenture
2 yrs
In the press

Media appearances

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Education
6-2022 - 12-2022
Doctor of Philosophy - PhD
University of California, Berkeley
2019 - 2023
Doctor of Philosophy - PhD
University of Oxford
Social presence
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Behavioral profile

DISC profile (public)

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