Vincent Cabeli
Founding Bio AI Research Scientist at Living Models (formerly .omics)
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolVincent 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.
10 years of coding experience
4 years of employment as a software developer
PhD, Bioinformatics, PhD, Bioinformatics at Sorbonne UniversitéBachelor's degree, Bioinformatics, Bachelor's degree, Bioinformatics at Université de MontréalMaster's degree, Bioinformatics, Master's degree, Bioinformatics at Université Paris Cité
Github Skills (24)
seq10
transcriptomics10
rna-seq10
bioinformatics10
differential-expression10
python9
causal9
pipeline9
information-theory9
pandas8
theory8
graphical-models8
manipulation7
frame7
data-analysis7
Programming languages (2)
Github contributions (5)
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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