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08:30 - 09:00
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Breakfast (SCAI) |
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09:00 - 09:15
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Introduction |
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09:15 - 09:45
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Tree-based variational inference for Poisson log-normal models: application to the gut microbiome - Alexandre Chaussard |
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09:45 - 10:30
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Keynote: AI, diagnostic tests and cancer - Michael Blum |
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10:30 - 11:00
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Coffee break |
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11:00 - 11:30
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Self-supervised representation learning on gene expression data for phenotype prediction - Kevin Dradjat |
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11:30 - 12:00
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Learning Single-cell Drug Responses Using Differential Autoencoder Model - Wang Shuhui |
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12:00 - 12:30
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scPRINT: A transcriptomic foundation model for inferring molecular interactions - Jérémie Kalfon |
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12:30 - 14:30
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Lunch and Posters |
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14:30 - 15:15
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Keynote: Deep learning for phylogenetic inference of species diversification - Hélène Morlon |
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15:15 - 15:45
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Transformers for EpiDemiological DYnamics: from genomic data to epidemiological parameters - Vincent Garot |
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15:45 - 16:15
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Coffee break |
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|
16:15 - 16:45
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ProtMamba: a homology-aware but alignment-free protein state space model - Cyril Malbranke |
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16:45 - 17:15
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Expanding the space of self-reproducing RNA using generative probabilistic models - Martin Weigt |
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17:15 - 17:30
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Closing remarks |
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