Thomas Kipf in

Thomas Kipf

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Senior Staff Research Scientist at Google DeepMind
📍 San Francisco, California, United States

Thomas Kipf is a Senior Staff Research Scientist at Google DeepMind, where he is a tech lead manager on the Veo team, focusing on video generation and motion control. He earned his PhD with highest honors from the University of Amsterdam and is a key figure in foundational generative model research.

He recently relocated from Amsterdam to the San Francisco Bay Area to foster closer collaboration with his US-based colleagues. Thomas is an active member of the AI research community, having previously been part of the vibrant ML/AI scene in Amsterdam and now engaging with new and old friends in the Bay Area.

He is a co-inventor of Graph Convolutional Networks (GCNs), a highly influential and foundational deep learning method for graph-structured data.

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Experience
7 Years
Current Role
Senior Staff Research Scientist
Location
San Francisco, California, United States
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Priorities

Topics Thomas cares about

Video Generation
As a tech lead manager for Google's Veo team, his work on capabilities like reference-based generation and motion control was featured at Google I/O 2025.
Graph Neural Networks
He co-authored the foundational paper on Graph Convolutional Networks during his PhD, a work that is now highly cited in the machine learning field.
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Career

Work history

11-2025
Senior Staff Research Scientist
Google DeepMind
5-2024 - 11-2025
Staff Research Scientist
Google DeepMind
6-2023 - 5-2024
Senior Research Scientist
Google DeepMind
5-2022 - 6-2023
Senior Research Scientist
Google
1-2020 - 5-2022
Research Scientist
Google
In the press

Media appearances

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Education
2016 - 2020
Doctor of Philosophy - PhD
University of Amsterdam
2014 - 2016
Master of Science (M.Sc. hon.)
FAU Erlangen-Nürnberg
Social presence
in
Behavioral profile

DISC profile (public)

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