Curriculum Vitae

Summary

I am a bioinformatician who designs tools to help breeders improve the genetics of industrial crops. My tools process, store and integrate omics data into databases linking genetic information with phenotypes and field conditions. I am interested in any technology that improves the processing, visualisation or mining of biodata.

Experience

July 2021 to present

Bioinformatician

Florimond Desprez Group Research Unit

Cappelle-en-Pévèle, France

Developed and optimised software, workflows, and databases to support plant breeders in the analysis and interpretation of omics data.

Python SQL R C++ Docker Nextflow Azure Databricks Elastic Stack

January 2017 to July 2021

Bioinformatician

CNRS Research Unit 5175, Center of Functional Ecology and Evolution

Montpellier, France

Processed DNA sequence data for population genetics studies of various fish species, enabling marine biologists to assess their conservation status.

Python R C++ Singularity Snakemake Jupyter SGE SLURM

January to August 2016

Bioinformatics Internship

INSERM Unit S598, Genetics of Diabetes

Paris, France

Developed a module and user interface for a medical software to detect and annotate rare variants in human genome sequences related to diabetes.

SQL Python Qt

January to June 2015

Bioinformatics Internship

INSERM Unit S1134, Macromolecular Biology

Paris, France

Optimised an algorithm to predict protein 3D structure at atomic resolution.

C Python

Training

2024: Generative AI workshop, Interactivity
2024: Elastic Stack Workshop, AMBIENT-IT
2023: Databricks Lakehouse Bootcamp, Databricks Academy
2020: Landscape Genetics Distributed Graduate Seminar, IDGC
2019: ReproHackathon, CIRAD
2018: Advanced Statistics for Data Sciences, EPHE
2017: High-Performance Computing Workshop, MBB

Education

2016: M.Sc. in Bioinformatics, Paris University, France
2014: Licence in Bioinformatics, Paris University, France