Curriculum Vitae
Summary
I am a bioinformatician who designs tools to help breeders improve the genetics of industrial crops. I am interested in any technology related to the processing, visualization or mining of biodata.
Contact
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 StackJanuary 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 SLURMJanuary 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 QtJanuary 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 PyMOLTraining
- 2025: Generative AI, Interactivity
- 2024: Elastic Stack, AMBIENT-IT
- 2023: Databricks, Databricks Academy
- 2020: Landscape Genetics, IDGC
- 2019: ReproHackathon, CIRAD
- 2018: Advanced Statistics for Data Sciences, EPHE
- 2017: High-Performance Computing, MBB
Education
- 2016: M.Sc. in Bioinformatics, Paris University, France
- 2014: Licence in Bioinformatics, Paris University, France