I am currently working Bioinformatician - Data Scientist in the Boston area for Soladis Inc. (dba EFOR group), a consulting company specializing in life sciences (MedTech, Biotech, and the pharmaceutical industry). In my role, I support the Biomarker division within the Biomarker Statistics department at Sanofi.

In February 2022, I joined as engineer the BU Omics of Soladis Group by Efor. Soladis is a group specialized in managing projects around data, and the BU Omics handle the bioinformatics and biostatistics analysis of various field data. I work with Servier, an international pharmaceutic group. I aim to support the quantitative pharmacology department.

Before, I was a research engineer within the Statistics and genome of the LaMME at Evry University and the 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 the Biomathematics team of the MICS laboratory at CentraleSupélec (Paris-Saclay University) supervised by Paul-Henry Cournède and Sarah Lemler. My research works focused on survival analysis and 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

Curriculum Vitae

Manuscrit and Slides of PhD defense

The last science outreach article I wrote, about the use of artificial intelligence in omics to predict patient survival, is available here.