Vincent Cabeli

Bio X AI Team Lead at Living Models (formerly .omics)

Paris, Ile-de-France
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Summary

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Senior
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Top School
Vincent Cabeli is a founding Bio AI research scientist with a decade of experience at the intersection of AI and computational biology, holding a PhD in bioinformatics focused on causal inference. He combines deep expertise in causal discovery and information-theoretic methods from his PhD with hands-on applied drug-development research at Owkin, where he led teams on specialist LLM post-training, RL-focused task forces, and patient subgroup optimization for target discovery. Now based in Paris, he builds agentic, specialist models and pipelines aimed at accelerating drug discovery and improving patient outcomes. Notably, his academic work produced novel conditional independence tests for mixed biological data and practical tools for interactive visualization of inferred networks, reflecting a persistent focus on making complex methods robust and usable on real-world clinical and omics datasets.
code11 years of coding experience
job4 years of employment as a software developer
bookPhD Bioinformatics, PhD Bioinformatics at Sorbonne Université
bookBachelor's degree Bioinformatics, Bachelor's degree Bioinformatics at Université de Montréal
bookMaster's degree Bioinformatics, Master's degree Bioinformatics at Université Paris Cité
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Github Skills (14)

rna-seq10
bioinformatics10
information-theory10
transcriptomics10
differential-expression10
python9
graphical-models9
pandas7
data-structures6
data-structure6
data-analysis6
data-science6
snakemake4
linux2

Programming languages (4)

C++RHTMLPython

Github contributions (5)

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vcabeli/vcabeli.github.io

Feb 2016 - Jan 2022

Contributions:1 release, 1804 pushes, 2 branches in 5 years 11 months
miicTeam/MIIC

Jan 2019 - Jul 2020

Contributions:7 commits, 3 pushes in 1 year 5 months
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