Stéphane Robin

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:
  • Molecular bioinformatics (BIM)
  • Statistics and ecology (EcoStat)
  • Algorithmic Issues for Inference in Graphical Models (AIGM)

• 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

Les publications de Stéphane Robin

• Hal archives ouvertes
• Google citations