Description

I am a young bioinformatician passionate about biotechnologies and bioinformatics, especially analysis of genomic data. I love programming in Python and designing pipelines using Nextflow. My two years experience in Germany was a great opportunity to open myself to new cultures and work in very different environments from those where I learned in France.

Link to GitHub: github.com/chloea31

Link to Researchgate: researchgate.net/profile/Chloe-Aujoulat/publications

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
German
Basic

Workplace preferences

Can work on-site

Toulouse (up to 50km), Bordeaux (up to 50km)

ERA-Bio-IT (Company)
Bioinformatician
RESEARCH
June 2024 - December 2025 (1 year and 6 months)
Toulouse, France
Construction and analysis of a maize pangenome (Python, Bash, Nextflow, R). Use of Minigraph, PGGB and Minigraph-Cactus to build pangenomes. Pangenome analysis: partitioning the pangenome using Panacus, variant calling using VG tools (VG deconstruct). Statistical analysis (VG stats). Filtering variants (VCFtools). Data interpretation and protocol validation. Automation of workflow for the construction and analysis of pangenomes. Participation in the creation of a R&D project to submit a technical proposal: project suggestions related to pangenomic and modelisation. HPC SLURM.
Nextflow Bash Slurm Génomique Python
RWTH Aachen (University)
Research Assistant (PhD)
RESEARCH
August 2022 - November 2023 (1 year and 3 months)
Aix-la-Chapelle, Germany
Study from the genotype to the phenotype on tomato glandular trichomes, using metabolic modelling (Python, pandas, plotly, scikit-learn, PyMC). Git. Part of HDS-LEE graduate school (RWTH Aachen and Research Center in Jülich). Teaching assistant for data visualization. Establishment of a notation system enhancing all skills and in favor of students who try to do something, instead of punishment. Participation in the Night of Science.
Python Analyse de données Data visualisation Recherche bibliographique Tutorat
Hochschule Mittweida (University)
Research Assistant (Master
RESEARCH
January 2022 - August 2022 (7 months)
Mittweida, Germany
Detection and evaluation of sequence variations in the sheep poodle genome (dog) (Python, Bash, pandas and plotly). Designing pipeline using FastQC, SAMtools, BCFtools, Clustal Omega, MUSCLE, Iq-tree, and VSEARCH. Performing in silico SNP-array. Phylogenetic reconstruction. Manipulation of GEO database, Nanopore sequencing data, and Illumina SNP-probe data. Data interpretation and protocol validation. Visualization of Nanopore manipulation. Git. Statistical analysis.
Bash Python Data visualisation Phylogénie Génomique