I am a research engineer with a background in applied mathematics. I received a PhD in Statistics in 2015 from the Université de Rennes 1, working at Agrocampus-Ouest under the supervision of David Causeur. My PhD was about variable selection for supervised classification in high dimension, when predictors are correlated. I applied the theoretical results of my PhD to ERP (Event Related Potentials) data in Psychology. During my postdoctoral position at INRIA at Grenoble I worked on robust nonlinear regression, using mixtures of regression and heavy tailed distributions, finally applying the results to planetology data.
I have been working at Institut Pasteur since 2017, as a member of the Statistics Group of the Hub of Bioinformatics and Biostatistics. I work on various applications of statistics on data generated by Institut Pasteur research units including:
- statistical analysis of high-dimensional data
- statistical analysis of time series
- differential analysis of transcriptomics and proteomics data
- functional analysis of transcriptomics and proteomics data (GSEA)
- analysis of RNA-Seq single-cell data
I also work in collaboration with the animal facility to support scientists in experimental design optimization (3R) as well as sample size computation and power analysis.