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Program > Detailed program
Thursday, January 29, 2026
| Time | Event | (+) |
| 09:00 - 09:30 | Registration (Galerie des amphis) | |
| 09:30 - 09:45 | Opening presentation (Amphi H of CLV) - Caroline Bazzoli | |
| 09:45 - 11:10 | Environmental omics (Amphi H of CLV) | (+) |
| 09:45 - 10:40 | › DNA studies from lake sediments: what we know and what we want to know - Laura Parducci, Sapienza - University of Rome | |
| 11:10 - 11:45 | Coffee break (Galerie des amphis) | |
| 11:45 - 12:45 | Environmental omics (Amphi H of CLV) | (+) |
| 11:45 - 12:15 | › Investigating metabolisms of microbial communities from metagenomics and metabarcoding data - Arnaud Belcour, Inria | |
| 12:15 - 12:30 | › Unsupervised detection and fitness estimation of emerging SARS-CoV-2 variants: Application to wastewater samples (ANRS0160) - Alexandra Lefebvre, Laboratoire Jacques-Louis Lions, Centre interdisciplinaire de recherche en biologie | |
| 12:30 - 12:45 | › Inference after human genetic clustering - Javier González-Delgado, Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - Simon Gravel, Department of Human Genetics, McGill University | |
| 12:45 - 14:00 | Lunch break | |
| 14:00 - 15:40 | Missing values and data generation (Amphi H of CLV) - Thomas Burger | (+) |
| 14:00 - 14:55 | › Minimal Libraries and Synthetic Augmentation of CRISPR-Cas9 Screens for Drug Target Discovery - Emanuel Gonçalves, Instituto Superior Técnico (IST) - University of Lisbon | |
| 14:55 - 15:25 | › Generative methods for handling missing values - Aude Sportisse, CNRS | |
| 15:25 - 15:40 | › Inferring cellular heterogeneity with mixture models for DNA methylation rates - Hugo Barbot, Institut de Recherche Mathématique de Rennes | |
| 15:40 - 15:45 | Posters (Amphi H of CLV) - Vincent Brault | |
| 15:45 - 17:00 | Poster and Coffee break (Galerie des amphis) | |
| 17:00 - 17:45 | Missing values and data generation (Amphi H of CLV) - Thomas Burger | (+) |
| 17:00 - 17:30 | › From Missing Intensities to Uncertainty: A Conjugate Bayesian Framework for Differential Proteomics - Marie Chion, University of Cambridge | |
| 17:30 - 17:45 | › Nucleotide-level RNA-Seq data augmentation based on a variational Bayesian framework |
Friday, January 30, 2026
| Time | Event | (+) |
| 09:00 - 10:40 | Next generation hypothesis testing (Amphi H of CLV) - Pierre Neuvial | (+) |
| 09:00 - 09:55 | › Comparative analysis of 3D genomic data - Nathalie Vialaneix, INRAE | |
| 09:55 - 10:25 | › True discovery guarantees in differential gene expression analysis - Anna Vesely, University of Bologna | |
| 10:25 - 10:40 | › Kernel Testing for Spatially Variable Gene Detection - Lucy Attwood, Laboratoire de biologie et modélisation de la cellule | |
| 10:40 - 11:15 | Coffee break (Galerie des amphis) | |
| 11:15 - 12:30 | Next generation hypothesis testing (Amphi H of CLV) - Pierre Neuvial | (+) |
| 11:15 - 11:30 | › Statistical tests for bivariate spatial association in multi-omics data - Stijn Hawinkel, Department of Plant Biotechnology and Bioinformatics, Ghent University, VIB center for Plant Systems Biology | |
| 11:30 - 12:00 | › Composite hypothesis testing procedure for the integration of multiple GWAS summary statistics - Annaïg De Walsche, Institut Pasteur | |
| 12:00 - 12:30 | › Post-clustering inference: practical limitations for application to scRNA-seq data-analysis - Boris Hejblum, Inserm Bordeaux Population Health research center U1219 | |
| 12:30 - 13:45 | Lunch | |
| 13:45 - 15:25 | E-values (Amphi H of CLV) - Tristan Mary-Huard | (+) |
| 13:45 - 14:40 | › Bringing Closure to False Discovery Rate Control: A General Principle for Multiple Testing - Jelle Goeman, Leiden University | |
| 14:40 - 14:55 | › Robust Confidence Intervals for Generalized Linear Models with an application to RNA-Sequencing Data - Andrea Panarotto, Università degli Studi di Padova = University of Padua | |
| 14:55 - 15:10 | › High-Dimensional Linear Model Inference with Conditional Resampling for Gene Discovery - Daniela Corbetta, Department of Statistical Sciences, University of Padova | |
| 15:10 - 15:25 | › Variable selection in transcriptomics data using knockoffs in a classification framework - Julie Cartier, Centre de Bioinformatique, Institut Curie, Oncologie Computationnelle (U1331) |
