Sibon Li builds applied AI systems at Brain Co. after research and engineering roles at Google DeepMind, Google, and Cask Data. His work spans graph neural networks, reinforcement learning, knowledge graphs, and computational biology.

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Sibon Li builds applied AI systems at Brain Co. after research and engineering roles at Google DeepMind, Google, and Cask Data. His work spans graph neural networks, reinforcement learning, knowledge graphs, and computational biology.

Career

AI/ML at Brain Co. from 2025 to Present
Staff Research Engineer at Google DeepMind from 2017 to 2025
Software Engineer, Search / Knowledge Graph at Google from 2014 to 2017
Software Engineer at Cask Data from 2013 to 2014
Postdoctoral Fellow at University of Southern California from 2013 to 2013
Postdoctoral Fellow at UCLA from 2010 to 2012
arxiv.org

Large-scale graph representation learning with very deep GNNs and self-supervision

A DeepMind paper co-authored by Li on scaling very deep graph neural networks with self-supervision.

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