After a Master thesis in bioinformatics, during which I developed my first machine learning softwares applied to protein structure modelling, I join INSERM Genetics of Diabetes research unit for developing softwares to automate detection of genetic variants linked to the diabete phenotype onto human genomes.

As I was already developing my own tools to deal with sequencing and "omics" data, I followed a course of statitics about population genomics and comparative genomics. It aims me to be recruited for the european project RESERVEBENEFIT in 2017.

Within this project, I handle HPC platforms and ease scientific reproduction. I take advange of Git, Singularity, Docker, Conda, Jupyter notebook, SnakeMake. I successfully realised 3 new fish species genome DNA sequence assemblies and genotyped 1600 individuals.

In parallel to this project, I joined SEACONNECT project to process ddRADseq data and carry out population genomics analysis. I learn to handle geophysical and environmental data from public database.

In 2019, I integrate CNRS as a computational biologist and contribute to various projects in collaboration with different teams on metagenomics. I also create automated workflows and database system for storing, retrieving and processing metabarcoding data for the MONACO MARINE WORLDWIDE EXPEDITION.

My main computational languages are Bash, Python and R. However I also realise projects using C, C++, Rust or Julia. See my Curriculum Vitae for more details.