Position
Senior researcher (DR) at the Institut National de la Recherche Agronomique (INRA)
Joint research unit (UMR) 518 AgroParisTech / INRA, Applied Mathematics and Computer Sciences
16 rue Claude Bernard, F - 75 231 Paris Cedex 05
(3)(0)1 44 08 72 07, fax: (3)(0)1 44 08 16 66
robin@agroparistech.fr
- Research groups:
- Associate editor:
- Biometrics (Biometrics)
- Journal de la Société Française de Statistique (J-SFdS)
- Teachings:
- Master2 Mathématiques pour les Sciences du Vivant (MathSV), see lecture notes below
- UE Modélisation statistique et analyse de données biologiques (ModelStat)
PhD
- No offer at this time
Projects
- Amaizing: Breeding for economically and environmentally sustainable maize varieties: an integrated approach from genomics to selection. 2011-2018
- HydroGen: Comparative Metagenomic for Measuring Biodiversity, Application to Ocean Life Studie. 2014-2018
- NGB: Next Generation Biomonitoring of change in ecosystem structure and function
Research interests
- Statistical Methodology
- Models with hidden variables (mixture model, HMM, SBM, ….)
- Variational approximations
- Random graph models
- Network inference
- Random processes on tree
- Change-point detection
- Statistical Applications in Molecular Biology
- Ecological network
- Interaction networks
- Metagenomics / Community ecology
- Evolution of phenotypic traits
- Copy number variations
- Former topics
- Motif in DNA sequences
- Gene expression data
Preprints:
- Inference of Adaptive Shifts for Multivariate Correlated Traits bioRxiv
- Variational inference for probabilistic Poisson PCA arXiv:1703.06633
- Graphical model inference with unobserved variable via latent tree aggregation arXiv:1705.09464
- Using deterministic approximations to accelerate SMC for posterior sampling arXiv:1706.06742
- Variational inference for coupled Hidden Markov Models applied to the joint detection of copy number variations arxiv:1707.07971
- Exact and approximate inference in graphical models: variable elimination and beyond arxiv:1506.08544
- Bayesian Inference of Graphical Model Structures Using Trees arxiv:1504.02723
- A factor model approach for the joint segmentation with between-series correlation arxiv:1505.05660
- A degree-based goodness-of-fit test for heterogeneous random graph models arxiv:1507.08140
Recent Talks
- Bayes Club, Leiden (Netherlands), Dec. 2017: Goodness of fit for graph logistic regression: a (variational) Bayes approach Leiden-1712.pdf pdf - 1,91 MB
- Emerging Topics in Biological Networks and Systems Biology, Uppsala (Sweden), Oct. 2017: Detecting change-points in the structure of a network: Exact Bayesian inference Uppsala-1710.pdf pdf - 1,18 MB
- Nordic-Baltic Biometric Conference, Copenhagen (Denmark), Jun. 2017: Detection of adaptive shifts on phylogenies using
shifted stochastic processes on a tree 17-06-Copenhague.pdf pdf - 3,17 MB - European Meeting of Statisticians (EMS), Helsinki (Finland), Jul. 2017: Probabilistic multivariate analysis of count data: Application to community ecology 1707-EMS-Robin.pdf pdf - 1,17 MB
- International Biometric Conference, Victoria (Canada), Jul. 2016 Dispersion modeling for RNAseq differential analysis IBC-Victoria-1607.pdf pdf - 368,50 kB
Teachings
- Master 'Mathématiques pour les Sciences du Vivant': Models with Hidden Structure with Applications in Biology and Genomics ModelsHiddenStruct-Biology.pdf pdf - 2,14 MB
- Modeling count data and ecological networks StatModel.pdf
pdf - 326,43 kB