James Thornton

Questioner
DISC Type : c

Research Scientist at Google DeepMind

United Kingdom

Overview

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.

Personality Overview

Cautious & Analytical

Not Easily Convinced

Price-Sensitive

It is quite likely of them to ask for pricing or other concessions.  While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.

Topics They Care 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.
Optimal Transport
A key focus of his academic research and work at Apple, forming a fundamental part of his expertise in generative modeling.

Media Appearances

James has no verified media appearances

Work History

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

Education

2019 - 2023
Doctor of Philosophy - PhD from University of Oxford
2015 - 2016
Masters from University of Warwick

More Information

Social Presence :

Prographics :

Exp : 4 Location : United Kingdom Job Level : N/A Designation : Research Scientist at Google DeepMind
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Insights For Selling To James

During A Call Or A Meeting

DO's

  • Share as much information as possible regarding your product
  • If you have a lower priced product compared to the competition, call out the same
  • Tell them that you will come back if you don’t have a good answer for a question

DONT's

  • Don’t overhype the product/pitch, keep it measured
  • Avoid phrases like ‘do not worry about’, ‘no one compares to’ etc.
  • Don’t try to be too friendly or informal with them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with James is

  • Ensuring that the product delivers ROI, cost-effective pricing and process compliance are very important for them.
  • Will you ever get a clear answer from James

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will James move?

  • If they have the information that they need, they can move fast at making their decisions.
  • Can James take some risk or not?

  • They can take risk if they are convinced that they have analyzed the circumstances well.


You And James

Personality Compatibility


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