Passionate about multi-omics data analysis and the development of tools and applications, I bring my expertise in bioinformatics and biostatistics to the bigA platform (office 2036) at CBI! If you have a project, a question, or if you want to mentor/help a student, come see us!
After obtaining a Master's in Modeling and Computer Science for Life Sciences (Lyon 1, 2016), I worked as a research engineer on the ProGénoMix proteomics platform for 17 months, where I designed and developed proteomics analysis methods (CEA). I developed pipelines to identify microbial strains present in samples and assess the presence of antibiotic resistance in the context of NRBC risks. I then continued with a mission to develop a web application using R-Shiny (4 months) within an environmental biology laboratory (LIEC, Metz). During my PhD (2018-2022), I designed a multi-omics data analysis method integrating metaproteomics, metagenomics, and geochemistry to identify the species present in a contaminated soil and analyze their roles (CEA). Subsequently, I joined CBI for a year, where I was responsible for the bioinformatics and biostatistics activities of Dr. Trouche's team. With these experiences, I was recruited to strengthen the bigA platform (CBI).
I am also part of the administrators of the CBI computing cluster (Pluton) and the organizing committee for the R-Toulouse meetings.
My favorites ❤️:
- Languages: R & Python
- Tools: Git, Quarto, Conda & Podman
- Expertise: proteomics, metaproteomics, metagenomics, as well as RNA-seq, ChIP-seq, DRIP-seq, scRNA-seq, and a bit of Hi-C.