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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