Audrey Hulot (2017–2020, with F. Jaffrezic and H.-J. Garchon)
Multi-omic data: clustering and network inference
Martina Sundqvist (2017–2020, with T. Dubois + G. Rigaill and L. De Koning)
Proteomic classification of Triple Negative Breast Cancers with multi-omics analysis
Marie Perrort-Dockes (2016–, with C. Lévy-Leduc + L. Sansonnet)
Regularization tools for multivariate analysis: application to multi-omics
Timothée Tabouy (2016–, with P. Barbillon)
Modeling and inferring Sampling design in probabilistic random network models
Trung Ha (2013–2016, with M.-L. Martin Magniette and G. Rigaill)
Statistical learning and multivariate analysis for robust regulatory network inference
David Baker (2015–2016, 50% with Tristan Mary-Huard)
Regularization for Genomic Selection
Smahane Chalabi (2010–2014, 25% with Boulos Chaloub)
Characteryzing gene expression reprogramming induced by allopolyploïdy for the wheat
Édith Le FLoch
(Post-Doc, 2012–2013, with Carène Rizzon), now works at CEA/Genoscope
Analysis of NGS data to characterize polyploidy
Camille Charbonnier
(PhD, 2010-2012, with Christophe Ambroise), now work at CHU
Inference of gene regulatory networks from non-iid transcriptomic data
Jonathan Plassais
(PhD, 2010–, with Chistophe Ambroise), now works for
bioMerieux
Gene signatures for Rheumatoid Arthritis from heterogeneous genomic data.