James Thornton in

James Thornton

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Research Scientist at Google DeepMind
📍 United Kingdom

He is a Research Scientist at Google DeepMind specializing in large-scale multimodal generative models using diffusion and flow techniques. With a PhD from the University of Oxford, his background includes research at Apples Machine Learning Research team and contributions to major Google projects like Imagen4 and Veo.

He co-authored "Simple ReFlow, " a paper that introduced an improved and more efficient method for flow-matching in generative modeling during his tenure at Apple.

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Experience
4 Years
Current Role
Research Scientist
Location
United Kingdom
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Priorities

Topics James cares about

Diffusion & Flow Models
This is his core research area, from his PhD at Oxford through his work at Apple and Google DeepMind, where he has published multiple papers.
Generative AI at Scale
As a contributor to large-scale Google projects like Veo and Imagen4, he focuses on applying generative models to complex, large-data challenges.
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Career

Work history

3-2025
Research Scientist
Google DeepMind
9-2023 - 2-2025
Research Scientist
Apple
10-2019 - 8-2023
PhD Research Student
University of Oxford
1-2020 - 5-2020
Class Tutor
University of Oxford
10-2018 - 10-2019
Probationary Research Student
University of Oxford
In the press

Media appearances

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Education
2019 - 2023
Doctor of Philosophy - PhD
University of Oxford
2015 - 2016
Masters
University of Warwick
Social presence
in
Behavioral profile

DISC profile (public)

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