Currently, I am an Resaearch engineer within Statistique and genome of the LaMME at Evry University and Gnet team of the IPS2 (Plant institute of Paris-Saclay). My research work consists to detect PPR footprints by using machine learning methods at Arabidopsis Thaliana.

Previously, I was a PhD student within Biomathematics team of the MICS laboratory at CentraleSupélec (Paris-Saclay University) supervised by Paul-Henry Cournède and Sarah Lemler. My reasearch works focused on the survival analysis and the marker detection in Oncology. I use machine learning and statistical methods to predict the survival duration and detect the biomarkers in high-dimension.

I did an two-year’s apprenticeship at both LMRS (Laboratoire Mathématiques Raphaël Salem) and LITIS (Laboratoire d’Infomratique et traitement de l’information et des systèmes). My principle work was to develop mixture models bivariate Negative Binomiale for RNA-seq data. In addition, I developed an R package for the simulation and estimation of Markov and Semi-Markov models and a Shiny application for the processing of qRT-PCR data called PROqPCR

Contact information: CentraleSupélec - Bouygues building
Office sb.129
3 rue Joliot Curie
91190 Gif-sur-Yvette, France
mathilde(dot)sautreuil(at)centralesupelec(dot)fr