AI / ML for the analysis of single-cell spatial transcriptomics - Sciencesconf.org

Week Wed. 15 Thu. 16 Fri. 17 List

	Wed. 15	Thu. 16	Fri. 17
09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00	Welcome Coffee 9:30 - 10:20 (50min) Welcome Coffee Learning Lab - BU science Openning and Welcome Speech 10:20 - 10:30 (10min) Openning and Welcome Speech Salle de conférences - BU science Hugues Berry Machine learning for integrative single-cell genomics 10:30 - 11:00 (30min) Machine learning for integrative single-cell genomics Salle de conférences - BU science Laura Cantini, Pasteur Institute, Paris, France Kernel-based perturbation testing for single-cell data 11:00 - 12:00 (1h) Kernel-based perturbation testing for single-cell data Salle de conférences - BU science Franck Picard, Ecole Normale Supérieure, Lyon, France Lunch 12:00 - 14:00 (2h) Lunch Domus Restaurant Statistical methods for spatial transcriptomics 14:00 - 14:30 (30min) Statistical methods for spatial transcriptomics Salle de conférences - BU science Xiang Zhou, University of Michigan, Ann Arbor, USA Towards scalable and interactive pipelines for spatial biology 14:30 - 15:30 (1h) Towards scalable and interactive pipelines for spatial biology Salle de conférences - BU science Yvan Saeys, Ghent University, Belgium Coffee break 15:30 - 16:10 (40min) Coffee break Learning Lab - BU science Advances in Spatial Transcriptomics and Computational Approaches 16:10 - 16:55 (45min) Advances in Spatial Transcriptomics and Computational Approaches Salle de conférences - BU science Guillaume Marcy, Université Claude Bernard Lyon 1, France Hands-On Spatial Transcriptomics: from data to insight 16:55 - 17:40 (45min) Hands-On Spatial Transcriptomics: from data to insight Salle de conférences - BU science Sergio Sarnataro, Ecole Normale Supérieure, Lyon, France	Transforming neural networks one cortical layer at a time 9:30 - 10:30 (1h) Transforming neural networks one cortical layer at a time Salle de conférences - BU science Genevieve Stein O’Brien, Johns Hopkins University, USA SpatialData: an open and universal data framework for spatial omics 10:30 - 11:00 (30min) SpatialData: an open and universal data framework for spatial omics Salle de conférences - BU science Quentin Blampey, Paris-Saclay University, France Coffee break 11:00 - 11:30 (30min) Coffee break Learning Lab - BU science Multi-modal learning for single-cell data integration 11:30 - 12:30 (1h) Multi-modal learning for single-cell data integration Salle de conférences - BU science Laura Cantini, Pasteur Institute, Paris, France Lunch 12:30 - 14:30 (2h) Lunch Domus Restaurant Deep learning and computational methods for spatial data analysis 14:30 - 15:30 (1h) Deep learning and computational methods for spatial data analysis Salle de conférences - BU science Quentin Blampey, Paris-Saclay University, France Coffee break 15:30 - 16:10 (40min) Coffee break Learning Lab - BU science Towards multimodal and context-aware representations of the tumor microenvironment 16:10 - 17:10 (1h) Towards multimodal and context-aware representations of the tumor microenvironment Salle de conférences - BU science Marianna Rapsomaniki, Lausanne University Hospital, Switzerland	Mapping spatially variable genes at cell type and subcellular resolution in spatial transcriptomics 9:30 - 10:30 (1h) Mapping spatially variable genes at cell type and subcellular resolution in spatial transcriptomics Salle de conférences - BU science Xiang Zhou, University of Michigan, Ann Arbor, USA Coffee break 10:30 - 11:00 (30min) Coffee break Learning Lab - BU science Generative AI modelling of spatial transcriptomics data to prioritise cellular states and predict therapeutic responses 11:00 - 12:00 (1h) Generative AI modelling of spatial transcriptomics data to prioritise cellular states and predict therapeutic responses Salle de conférences - BU science Daniyal Jafree, UCL & Wellcome Sanger, UK Lunch - End of the workshop 12:00 - 14:00 (2h) Lunch - End of the workshop Domus Restaurant

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