I have a background of mathematics (Master) and molecular and cellular neurobiology (PhD). I have been working in the field of computational metabolomics since 2010 at CEA (French government-funded technological research organisation) within the MetaboHUB infrastructure. My research focuses on statistical approaches for biomarker discovery (Thevenot et al, 2015). To enable multivariate modeling and feature selection with OPLS, I wrote the ropls bioconductor package. I have integrated several tools for normalization and quality control of LC-HRMS data, as well as univariate and multivariate statistical analysis, into the Workflow4Metabolomics infrastructure for computational metabolomics.