Boris Muzellec
Senior Research Scientist at Google DeepMind
France
Summary
👤
Senior🎓
Top SchoolBoris 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 ParisComputer Science, Applied Mathematics, Computer Science, Applied Mathematics at École PolytechniqueClasses préparatoires MPSI-MP* (Mathématics, Physics, Computer Science), Classes préparatoires MPSI-MP* (Mathématics, Physics, Computer Science) at Lycée JoffreMaster of Science (MSc), Data Science, Master of Science (MSc), Data Science at Université Paris-Saclay
French, English, Spanish
Github Skills (19)
python10
imputation10
transcriptomics10
rna-seq10
bioinformatics10
differential-expression10
federated-learning9
differential-privacy9
deep-learning8
machine-learning8
computational-biology7
orange6
conda6
bioconda5
renewable-energy5
Programming languages (4)
Github contributions (5)
owkin/fedpydeseq2-paper-experiments
Dec 2024 - Jan 2026
Contributions:2 reviews, 3 PRs, 52 pushes in 1 year 1 month
BorisMuzellec/MissingDataOT
Feb 2020 - May 2021
A Pytorch implementation of missing data imputation using optimal transport.
Contributions:12 commits, 22 pushes, 4 branches in 1 year 3 months
imputationpytorch
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