Boris Muzellec is a senior research scientist with 11 years of experience at the intersection of machine learning and computational biology, currently applying AI for health at Google DeepMind after leading research efforts at Owkin. He has a strong theoretical foundation from École Polytechnique and a PhD from ENSAE Paris, and his work spans kernel methods, optimal transport, and federated differential expression analysis (FedPyDESeq2) as well as the open-source PyDESeq2 package. Boris blends deep academic research—postdoc work on kernel sums-of-squares and Gradient Langevin dynamics—with practical impact in healthcare ML, including agentic LLM prototypes for knowledge extraction. Fluent in both research and engineering, he has a track record of shipping libraries and translating advanced math into usable tools for biomedical data. An atypical background as a former naval navigation officer underscores his operational discipline and ability to perform under pressure.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Mathématiques appliquées, Doctor of Philosophy - PhD, Mathématiques appliquées at ENSAE Paris
Contributions:12 commits, 22 pushes, 4 branches in 1 year 3 months
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Boris Muzellec - Senior Research Scientist at Google DeepMind