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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