Quentin Blampey
Machine Learning Researcher at Cure51
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolQuentin Blampey is a Machine Learning Researcher and PhD-trained deep learning specialist based in Paris, with eight years' experience applying AI to oncology and multi-omics at single-cell resolution. He has led research and tooling for spatial transcriptomics—publishing methods and contributing to Scverse open-source projects—while moving models toward target discovery in industry roles like Cure51. His work spans deep generative models for cell-type annotation, technology-agnostic spatial-omics pipelines, and graph-based foundation models, blending rigorous academic publishing with practical translational projects. Comfortable in production and research settings, he has applied DL to diverse domains from glucose forecasting to cyberdefense, showing an ability to adapt methods across industries. Outside the lab he’s an avid climber, a small but telling detail that reflects his systematic, risk-aware approach to challenging problems.
8 years of coding experience
2 years of employment as a software developer
[Centrale Paris] Master of Engineering - MEng, Math and Data Science, [Centrale Paris] Master of Engineering - MEng, Math and Data Science at CentraleSupélecMPSI - MP*, Option Informatique, MPSI - MP*, Option Informatique at CPGE Lycée KléberBac Scientifique, Bac Scientifique at Lycée Georges Cuvier
Stackoverflow
164reputation
3kreached
7answers
7questions
Github Skills (88)
snakemake10
python10
spatial-transcriptomics10
transcriptomics10
spatial10
memory-management10
sampling10
pipeline10
single-cell-analysis10
lightning10
artificial-intelligence10
spatial-data10
geometric10
pytorch10
single-cell-genomics10
Programming languages (5)
Github contributions (5)
MICS-Lab/scyan
Feb 2022 - Feb 2023
Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.
Contributions:11 releases, 379 commits, 54 PRs in 11 months
batchdeep-learninggenerative-modeldiscoverycytometry
gustaveroussy/sopa
Dec 2023 - Apr 2025
Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)
Contributions:20 releases, 33 reviews, 90 PRs in 1 year 3 months
generalizationmemory-managementmultiplexed-imagingpipelinesnakemake
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