Summary
Gabriel Cretin is a PhD-trained computational biologist and Linux systems engineer who blends nine years of hands-on HPC administration with deep learning research in protein sequence and structure modeling. Based at Université Paris Cité and INSERM, he develops and deploys GPU-powered pipelines while advancing protein language models, dimensionality reduction for latent spaces, and generative approaches to local and global protein organization. His work spans from practical lab-grade system reliability to cutting-edge methods that re-rank and refine template-based structure predictions, reflecting a rare combination of production ops and methodological innovation. Past projects include applying deep neural re-ranking to Nano-ORION and integrating metabolomics preprocessing tools into large-scale workflows, showing comfort across omics modalities. A self-described coffee geek in Paris, he brings both meticulous infrastructure stewardship and a curiosity-driven scientific mindset that accelerates reproducible AI-driven biology.
9 years of coding experience
Doctorat de philosophie, Bioinformatics, Doctorat de philosophie, Bioinformatics at Université Paris Cité
DUT, Biologie, Bioinformatique, DUT, Biologie, Bioinformatique at Université d'Auvergne
Master's degree, Bioinformatics, Mention Très Bien - Rang 2/21, Master's degree, Bioinformatics, Mention Très Bien - Rang 2/21 at Université Paris Diderot
Mathématiques et informatique, Mathématiques et informatique at Université Joseph Fourier (Grenoble I)
French, English, German