Maxime Prost
Product Manager at Merck Life Science
Greater Lyon Area France
Summary
🤩
Rockstar🎓
Top SchoolMaxime Prost is a Product Manager at Merck Life Science with nine years of cross-disciplinary experience bridging chemistry, biotech R&D and operational excellence. Trained as a chemical engineer and PhD organic chemist from École Normale Supérieure de Lyon and CPE Lyon, he has led production qualification, Lean Six Sigma projects and strategic budgets for IVD microsphere manufacturing. He blends hands-on lab research—authoring fluorogenic probe synthesis and in vitro evaluations—with data science contributions to scvi-tools, where he improved a VAE for single-cell and spatial omics analysis. Known for adaptability, rigor and fast problem solving, he thrives on translating deep technical knowledge into product decisions that improve customer experience. A practical polymath, he moves comfortably between the bench, the factory floor and open-source computational biology.
9 years of coding experience
1 year of employment as a software developer
Doctorat, Chimie organique, Mention Très Honorable, Doctorat, Chimie organique, Mention Très Honorable at Ecole normale supérieure de LyonIngénieur, Chimie - Génie des procédés, Ingénieur, Chimie - Génie des procédés at CPE LyonChimie organique et bioorganique, Chimie organique et bioorganique at Université de MontréalClasses Préparatoires à CPE Lyon
French, English, Spanish, German
Github Skills (14)
rna-seq10
seq10
pytorch10
machine-learning10
deep-learning10
python10
sc10
data-analysis10
modeling9
trainings9
clustering9
data-visualisation9
data-visualization9
data-visualizations9
Programming languages (3)
Github contributions (5)
scverse/scvi-tools
Apr 2018 - Aug 2018
Deep probabilistic analysis of single-cell and spatial omics data
Role in this project:
Data Scientist
Data ScientistContributions:52 commits, 4 PRs, 16 pushes in 4 months
Contributions summary:Maxime primarily contributed to the development and improvement of a Variational Autoencoder (VAE) model for single-cell and spatial omics data analysis. Their commits involved modifying the VAE architecture, incorporating batch correction techniques, and integrating a t-SNE visualization for batch mixing analysis. The user also implemented a semi-supervised classification framework, integrated the retina dataset, and added an early stopping criterion.
hierarchicaldeep-generative-modelmixture-of-expertssingle-cell-rna-seqsingle-cell
maxime-langevin/retrospective_analysis
Jul 2023 - Nov 2024
Contributions:1 release, 16 PRs, 23 pushes in 1 year 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.