A one-day workshop to marshal Inserm's experts who develop AI/ML approaches for drug discovery & development (in the broader sense) with those who would like to use them

This first meeting will more specifically focus on drug discovery, while the next ones may be dealing with development

23rd January 2026

Rooms Paris + Trocadéro

2nd Floor, site Biopark

8, rue de la Croix-Jarry

75013 Paris

Invited talks :

• Youcef Bagdad Towards an AI Multi-Agent Platform for Virtual Screening, Inserm U1141, Hospital Robert Debré, University Paris Cité, Paris, France 

• Alexandre G. de Brevern Artificial intelligence Strategies for Protein Structure, Dynamics and Design, UMR_S1134 - Inserm - Université Paris Cité, Université de la Réunion, DSIMB - Bioinformatics team, Hôpital Necker, Paris France

• Stéphane Giraud From target to preclinical candidate : C3D capabilities and identification of protein-protein interaction inhibitors, plateforme expérimentale Drug Discovery, CRCL U 1052, Lyon

• Cedric Leyrat AI-Guided Design of Functional Proteins for Next-Generation Therapeutics, Institut de génomique fonctionnelle, CNRS UMR 5203 – Inserm U1191, Université de Montpellier.

• Pierre Marquet Changement d’échelle en pharmacologie préclinique et clinique grâce aux concepts et outils de machine learning, U1248 Pharmacologie et Transplantation, INSERM, Université de Limoges, CHU de Limoges

• Maria Miteva AI-Driven Prediction of Inhibitors of Metabolizing Enzymes and Transporters for Safer Drug Design, CMRT Inserm U1268, CiTCoM UMR8038 CNRS - Univ. Paris Cité

• Amir Pandi De novo antimicrobial peptides by integrating deep learning and synthetic biology, ATIP-Avenir Group Leader, INSERM U1338 (ERL), Department of Computational, Quantitative and Synthetic Biology (CQSB), UMR 7238, CNRS-Sorbonne Université, Paris.

• Véronique Stoven Machine-learning approaches for chemogenomic. Application to target discovery in Cystic Fibrosis, Center for Computational Biology, Mines Paris-PSL, PSL Research University, Paris, France; Institut Curie, Paris et INSERM U1331

• Viet-Khoa Tran-Nguyen Physics and Artificial Intelligence in Molecular Docking: From Docking Power Benchmarking to Virtual Screening Applications, Biologie Fonctionnelle et Adaptative, UMR 8251 CNRS, Université Paris Cité

+ panel discussion on the future of AI for Drug Discovery at Inserm

In case you are searching for a way to solve a use case with AI, you can share it to the participants (cf registration)

To attend the workshop in real life, registration is free but mandatory, and in the limit of 50 persons. Use you scienceconf account to register ("Login" button, top-right of this page). Create your account in case you have none.

Remote attendance (visioconference) will be possible too, the url will be provided soon.