23 septembre 2026 (ERIST, bâtiment 400)
9h30 Accueil des participants
Chair : Romain Briandet
10h00 Introduction axe FAME
10h05 Ivo Gomperts Boneca (U1306 INSERM, Institut Pasteur, Paris)
AI-driven high content phenotypic screening for prediction of mode of action of drugs
10h45 Antoine Villié (AUROBAC THERAPEUTICS, Lyon)
Applying Machine Learning to Biotech R&D: A Case Study on Narrow-Spectrum Antimicrobial Peptide Discovery
Chair : François Lecointe
11h25 Jessica Andreani (I2BC, CNRS, Gif-sur-Yvette)
Deciphering the machinery of bacterial transformation with AI-based structural predictions
12h05 Simon Labarthe (Pleiade, INRAE (Biogeco), Inria, Talence)
Biology-informed inference for omic data analysis
12h45 Déjeuner
Chair : Thomas Candela
14h00 Vincent Guigue (UMR MIA-Université Paris Saclay, Palaiseau)
Artificial intelligence and microbiology : Which tools for which applications, and at what cost ?
Chairs : Florian Plaza-Onate & Alhosna Benjdia
14h45 Table ronde
I. Gomperts Boneca, A. Villié, J. Andreani, S. Labarthe, V. Guigue, M. Kushwaha & H. Chiapello
16h30 Clôture
