About Me
I'm a Bioinformatics Engineer currently working at Agroscope (Switzerland) on de novo genome assembly and genetic diversity in grass ecotypes. I recently completed my M.Sc. in Bioinformatics from the University of Rouen, with an 18-month apprenticeship at INRAE.
My work centers on pangenomics, genome assembly, and NGS analysis, where I develop computational tools and workflows for large-scale genomic data. These are topics I'm eager to explore further and at greater depth.
I also served as House Manager at the Bordeaux National Opera for five years, coordinating reception teams during evening performances, a role that taught me rigor, teamwork, and attention to detail.
Experience
Bioinformatics Engineer Intern
Agroscope - Wädenswil, Switzerland
De novo genome assembly and genetic diversity analyses in Swiss ecotypes of Lolium multiflorum.
Bioinformatics M.Sc. Engineer Apprentice
INRAE BIOGECO - Cestas, France
Developing pangenomics tools and workflows to help identify structural variants in Quercus spp..
Proteomics B.Sc. 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
2nd year of M.Sc. 18-month apprenticeship program
Deep Learning Research Exchange
University of Groningen - Netherlands
Deep learning of satellite imagery applied to urban forestry
M.Sc. Bioinformatics
University of Bordeaux
1st year of M.Sc.
B.Sc. Life Sciences
University of Bordeaux
Main skills
Bioinformatics
- Genome Assembly
- Pangenomics ⋆
- NGS
- Workflow Development
- Population Genetics
Programming
- Python
- Snakemake
- Bash
- R
- LaTeX
DevOps & HPC
- Apptainer
- Cluster Computing
- SLURM, Hetzner
- Git
- CI/CD
Publications & Reports
Papers
- (preprint) A chromosome-scale genome assembly of the Swiss Lolium multiflorum ecotype Tremona reveals a scalable method to purge spurious duplications bioRxiv, 2026 bioRxiv
- (preprint) Simulating population pangenomes under coalescent demographic models with MSpangenome bioRxiv, 2026 bioRxiv
- (preprint) A reference genome assembly for Quercus canariensis Willd bioRxiv, 2026 bioRxiv
Posters & Conference Presentations
- MSpangepop: Simulating complex structural variants under advanced demographic scenarios using the coalescent JOBIM 2025, Bordeaux, France HAL
Reports
- De la construction a la simulation des pangenomes : une approche bioinformatique integree via Asm4pg et MSpangepop PDF M.Sc. apprenticeship report, INRAE BIOGECO / Univ. Rouen, 2024-2026 | Supervised by Dr. Ludovic Duvaux
- Single Tree Detection: The Jurassic Bark PDF Erasmus+ research project, University of Groningen, March 2024
Projects
Main Projects
ParaLies
Tool using synonymous divergence (Ks) to detect and remove artefactual duplications caused by failed allelic collapse in heterozygous diploid genome assemblies, while preserving genuine ancient paralogues.
Supervised by : Dr Anne C. Roulin
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
Smaller Projects
MycoLasso
MycoLasso is a Shiny GUI app to load, visualize, and interactively explore geospatial data points.
Urban Tree Detection
U-Net Deep learning pipeline for tree detection and counting from satellite imagery.
Supervised by : Pr Jean-Christophe Taveau
FEAther
Shiny GUI for functional enrichment analysis of biological data.
Supervised by : Asst. Prof Hélène Dauchel
Fruit Proteomics Analysis
Statistical analysis of proteomic data across five fruit species.
Supervised by : Dr Sophie Colombié
Contact
Feel free to reach out for collaborations or opportunities!
lucienpiat33@gmail.com