research
Notre monde exige que l’on résolve des problèmes d’une complication infinie dans un délai infiniment court. Paul Valéry, Lettre sur la société des esprits, 1933.
funded projects
- co-PI of the ANR project VITE (2024-2028): Variable Importance Tests
- participant of the ANR project BACKUP (2023-2027): BAyesian nonparametrics, Complex models and Kernels, Uncertainty quantification and deeP methods
- participant of the AI4scMed consortium (2023-2027) funded by PEPR Santé Numérique: multiscale AI for single-cell based precision medicine
- co-PI of the ANR project CORNFLEX (2023-2027): Computational Design of Intrinsically Disordered Proteins: Application to Flexible Linkers
- PI of the CNRS 80’ project DDisc (2021-2024): Double-dipping in single-cell RNA sequencing data analysis
- PI of the ANR project SansSouci (2016-2020): Post-hoc approaches to large-scale multiple testing
- PI of the CNRS MITI project SCALES (2017-2019): Multi-scale and data-driven statistical inference for genomic data
current PhD students and postdocs
- Sara Fallet: PhD student 2024-2027, Gene set differential analysis of multi-sample scRNA-seq data. With Boris Hejblum. Funded by PEPR Santé Numérique AI4scMed.
- Angel Reyero Lobo: PhD student 2024-2027, Statistical inference for variable importance in high-dimensional and highly correlated settings. With Bertrand Thirion. Funded by ANR VITE.
- Elise Jorge: PhD student 2023-2026, Comparative analysis of 3D genomics data. With Sylvain Foissac and Nathalie Vialaneix. Funded by INRAE.
past postdocs
- Simon Bartels (2023-2025). With Juan Cortés and François Bachoc. Currently Machine Learning Engineer at Component AI.
- Samuel Davenport (2021). With Bertrand Thirion. Currently postdoc at UC San Diego (USA).
- Marie Perrot-Dockès (2019-2020). With Gilles Blanchard and Etienne Roquain. Currently Assistant professor at MAP5, Paris.
- Magali Champion (2018).Currently Assistant professor at MAP5, Paris.
past PhD students
- Nicolas Enjalbert-Courrech (2021-2024): Post-clustering inference for transcriptomic data analysis. With Cathy Maugis-Rabusseau. Currently Research Engineer at INRAE MIAT.
- Alexandre Blain (2021-2024): Reliable statistical inference: controlling the false discovery proportion in high-dimensional multivariate estimators. With Bertrand Thirion.
- Javier González Delgado (2020-2023): Statistical models and methods for the structural analysis of intrinsically disordered proteins. With Juan Cortés. Currently Assistant Professor at ENSAI (Rennes). Awarded Prix de thèse Jacques Neveu 2023.
- Nathanaël Randriamihamison (2018-2021): Adjacency-constrained hierarchical agglomerative clustering with application to Hi-C studies. With Nathalie Vialaneix and Marie Chavent. Currently high-school math teacher.
- Guillermo Durand (2015-2018): Multiple testing and post hoc bounds for heterogeneous data. With Etienne Roquain. Currently Assistant professor at LMO, Orsay.
- Benjamin Sadacca (2013-2017): Pharmacogenomic and high-throughput data analysis to overcome triple negative breast cancers drug resistance. With Fabien Reyal. Currently Associate Director in Bioinformatics with Mnemo Therapeutics.
- Morgane Pierre-Jean: PhD student 2013-2016, Development of statistical methods for DNA copy number analysis in cancerology. Currently Research Engineer at LSTI (Rennes University).
- Alia Dehman: (2012-2015): Spatial clustering of linkage disequilibrium blocks for genome-wide association studies. With Christophe Ambroise. Currently Senior Biostatistician at Comac Medical.
Participation to conference organization
- Rencontres R 2026 (Nantes, Jun 2026)
- SMPGD 2026 (Grenoble, Jan 2026)
- Workshop on Explanability for high-dimensional statistics (Montpellier, Dec 9 2025)
- JOBIM 2024 (Toulouse, June 2024)