Since September 2016, I am a research engineer in the Bioinformatics and Biostatistics HUB of the Institut Pasteur and detached in the Proteomics facility.
I have a PhD in Signal Processing from the Ecole Nationale Supérieure des Télécommunications de Bretagne (Telecom Bretagne (now IMT Atlantique)) and a Master in Mathematics with a specialty in Statistical Engineering from Rennes 1 University.
Today, most of the projects I work on consist of detecting changes in protein abundances using discovery-driven mass spectrometry. I am interested in the development of new methodologies to optimize proteomics data analysis pipelines, from the identification of peptides/proteins to their quantification and the interpretation of results. For this purpose, I worked on several R packages which can be downloaded from the CRAN and Bioconductor:
- cp4p (CRAN link),
- imp4p (CRAN link),
- DAPAR (Bioconductor link) and its GUI ProStar,
- MSclassifR (CRAN link).
R Tutorials:
Quality control reports of MS-based omics data
Using Statistical Power for Sample Size estimation in MS-based omics data