Guido Uguzzoni
Researcher at Gen&Chem team - BGE - IRIG - CEA-Grenoble.
IRIG CEA-Grenoble, bâtC3 · 17, rue des Martyrs
38054 Grenoble Cedex 9, France
My research focuses on developing AI methods for molecular biology, bioinformatics and protein design, with a focus on medical applications. I work at the intersection of machine learning, statistical physics, and computational biology, using deep sequencing data to train AI models that generate optimized biomolecules. My research combines fundamental work with practical applications. I collaborate with experimental groups to design specific systems such as peptides, antibodies, and viral capsids.
By applying AI to molecular biology, I am committed to creating data-driven solutions that accelerate the discovery and optimization of biomolecules for medical purposes.
news
| May 10, 2026 | PhD position — Integrative AI models for therapeutic peptide design |
|---|---|
| Mar 01, 2026 | Hackathon on Predictive Modeling in Systems Pharmacology |
| Sep 15, 2025 | Stage M2 — janvier 2026 |
| Nov 10, 2024 | New manuscript in PLoS Computational Biology |
collaborators
| Christophe Batail — BGE - CEA |
| Jorge Ferndandez de Cossio Diaz — IPhT - CEA |
| Darren Hart — IBS - CEA |
| Clement Nizak — Sorbonne Université |
| Olivier RIvoire — ESPCI Paris |
| Deniz Dalkara — Institut de la Vision Paris |
| Ulisse Ferrari — Institut de la Vision Paris |
| Serena Marchiò — Università di Torino |
alumni
PhD students
| 2025 - present | The-Choung TRINH — AI models in pharmacogenomics supervisor: C.Batail (CEA) |
| 2025 - present | Nicola De Simone — Biostatistics and machine learning in Proteomics supervisor: T.Burger(CEA) |
M2/M1 internships
| 2026 | Hector Pezet — Ontology-guided AI GraphRAG framework in bioinformatics |
Past members
| 2020 - 2023 | Luca Sesta — Inference models of protein fitness landscapes supervisor: A.Pagnagni (Politecnico di Torino) now: PostDoc Biozentrum - University of Basel |