AI / ML for the analysis of single-cell spatial transcriptomics
15-17 Oct 2025 Lyon (France)
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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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