Programme

mercredi 31 mai 2023

Heures événement  
09:00 - 09:15 Introduction (Amphithéâtre Astier, bâtiment Esclangon) - Animation LEGO  
09:15 - 10:00 Keynote: Interpretable models in machine learning and their application in medicine (Amphithéâtre Astier, bâtiment Esclangon) - Nataliya Sokolovska  
10:00 - 10:30 The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics (Amphithéâtre Astier, bâtiment Esclangon) - Javier Mendoza Revilla  
10:30 - 11:00 Pause café  
11:00 - 11:30 Exogenous chromosomes reveal how sequence composition drives chromatin assembly, activity, folding and compartmentalization (Amphithéâtre Astier, bâtiment Esclangon) - Julien Mozziconacci  
11:30 - 12:00 Probing transcription initiation at microsatellites with fully explainable deep neural networks (Amphithéâtre Astier, bâtiment Esclangon) - Charles-Henri Lecellier  
12:00 - 13:45 Déjeuner et Posters  
13:45 - 14:30 Keynote: Some probabilistic machine learning approaches to dimension reduction with applications to life sciences (Amphithéâtre Astier, bâtiment Esclangon) - Julien Chiquet  
14:30 - 15:00 Model fitness landscapes for genes' interaction pathways (Amphithéâtre Astier, bâtiment Esclangon) - Wang Shuhui  
15:00 - 15:30 Pause café  
15:30 - 16:00 Maximum entropy models shed light on viral host adaptation (Amphithéâtre Astier, bâtiment Esclangon) - Andrea Di Gioacchino  
16:30 - 17:00 Machine learning prediction of genetic variant pleiotropy to characterize the human genetic architecture (Amphithéâtre Astier, bâtiment Esclangon) - Martin Tournaire  
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