Wednesday, May 31, 2023
| Time | Event | (+) |
| 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 |
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| 10:00 - 10:30 | The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics (Amphithéâtre Astier, bâtiment Esclangon) - Javier Mendoza Revilla |
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| 10:30 - 11:00 | Coffee break | |
| 11:00 - 11:30 | Exogenous chromosomes reveal how sequence composition drives chromatin assembly, activity, folding and compartmentalization (Amphithéâtre Astier, bâtiment Esclangon) - Julien Mozziconacci |
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| 11:30 - 12:00 | Probing transcription initiation at microsatellites with fully explainable deep neural networks (Amphithéâtre Astier, bâtiment Esclangon) - Charles-Henri Lecellier |
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| 12:00 - 13:45 | Lunch and 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 |
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| 15:00 - 15:30 | Coffee break | |
| 15:30 - 16:00 | Maximum entropy models shed light on viral host adaptation (Amphithéâtre Astier, bâtiment Esclangon) - Andrea Di Gioacchino |
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| 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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