About Me
I'm a final-year M2 Bioinformatics and biostatistics student at the University of Rouen, currently completing an 18-month apprenticeship at INRAE.
I have experience in pangenomics and genome assembly, developing efficient computational solutions for large-scale genomic data analysis.
I also served as House Manager at the Bordeaux National Opera for five years, where I coordinated reception teams during evening performances. This role taught me the value of rigor, teamwork, and an eye for detail.
Experience
Bioinformatics Engineer Apprentice
INRAE BIOGECO - Cestas, France
Developing pangenomics tools and workflows for the Pangenoak project studying structural variants in white oak genomes.
Deep Learning Research Exchange
University of Groningen - Netherlands
Applied deep learning to urban forestry, building automated pipelines for tree detection from satellite imagery.
Proteomics Research Intern
INRAE BFP - Villenave-d'Ornon, France
Statistical analysis of fruit proteome across 5 species, identifying differential expression patterns across developmental stages.
Education
M.Sc. Bioinformatics, Modeling and Statistics
University of Rouen Normandy
18-month apprenticeship program
M.Sc. Bioinformatics (Year 1)
University of Bordeaux
B.Sc. Life Sciences
University of Bordeaux
Skills
Bioinformatics
- Genome Assembly ⋆
- Pangenomics ⋆
- NGS Analysis
- Population Genetics
- Workflow Development
- Structural Variants
- OOP
- Simulations
Programming
- Python ⋆
- Snakemake ⋆
- Bash
- R
- SQL
- Java
- C
- LaTeX
DevOps & HPC
- Apptainer ⋆
- SLURM ⋆
- Git
- Docker
- Conda
- CI/CD
- Cluster Computing
Projects
MSpangepop ⋆
Python library for pangenome simulation under coalescent demographic models. Features clean, object-oriented architecture designed for extensibility and ease of use by biologists.
Supervised by : DSc Ludovic Duvaux
Asm4gp ⋆
Comprehensive long-read assembly and QC pipeline supporting PacBio, ONT, TRIO, Hi-C, and HiFi data. Developed using Snakemake to automate haplotype-resolved genome assembly inputs for pangenome construction.
Supervised by : DSc Ludovic Duvaux
MycoLasso
MycoLasso is a Shiny app to load, visualize, and interactively explore geospatial data points.
Urban Tree Detection
Deep learning pipeline for automated tree detection and counting from satellite imagery using U-Net architecture. Developed during Erasmus+ exchange at University of Groningen.
Supervised by : Pr Jean-Christophe Taveau
FEAther
Shiny application designed for functional enrichment analysis of biological data. It allows users to upload CSV files, select various analysis options, and visualize results through interactive plots and tables.
Supervised by : Asst. Prof Hélène Dauchel
Fruit Proteomics Analysis
Statistical analysis of proteomic data across five fruit species to identify differential protein expression patterns during development. Utilized R for data processing, visualization, and interpretation.
Supervised by : Dr Sophie Colombié
Additional Information
Certifications
- SSIAP 1 (Fire Safety Certificate)
- SST (Workplace First Aid)
- TOEIC English (970/990)
Interests
- Hiking
- Nature & Trees
- Continuous Learning
Soft Skills
- Curious
- Quick Adaptation to New Environments
- Team Coordination
Contact
Feel free to reach out for collaborations or opportunities!
lucienpiat33@gmail.com