Lucien Piat, Bioinformatics Engineer | Genome assembly & pangenomics

Lucien Piat

Bioinformatics Engineer | Genome assembly & pangenomics

Zurich, Switzerland

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

Apr 2026 - Now ⭐

Bioinformatics Engineer Intern

Agroscope - Wädenswil, Switzerland

De novo genome assembly and genetic diversity analyses in Swiss ecotypes of Lolium multiflorum.

2024 - 2026

Bioinformatics M.Sc. Engineer Apprentice

INRAE BIOGECO - Cestas, France

Developing pangenomics tools and workflows to help identify structural variants in Quercus spp..

May - June 2023

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

2024 - 2026

M.Sc. Bioinformatics, Modeling and Statistics

University of Rouen Normandy

2nd year of M.Sc. 18-month apprenticeship program

Jan - May 2024

Deep Learning Research Exchange

University of Groningen - Netherlands

Deep learning of satellite imagery applied to urban forestry

2023 - 2024

M.Sc. Bioinformatics

University of Bordeaux

1st year of M.Sc.

2021 - 2023

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

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

ParaLies Ks-based detection of artefactual duplications from failed allelic collapse in a diploid genome assembly ParaLies synonymous divergence (Ks) distribution used to remove recent allelic copies while preserving ancient paralogues
Python Genome Assembly DIAMOND MCScanX Apptainer Conda

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

MSpangepop workflow for simulating population pangenomes under coalescent demographic models
Python Population Genetics Coalescent Theory OOP MSprime / tskit Pangenome Graphs

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

Asm4pg long-read genome assembly and QC pipeline supporting PacBio, ONT, Hi-C and HiFi data Asm4pg Snakemake workflow producing haplotype-resolved genome assemblies for pangenome construction
Snakemake Python SLURM Apptainer Conda Bash

MycoLasso

MycoLasso is a Shiny app to load, visualize, and interactively explore geospatial data points.

MycoLasso R Shiny app visualizing geospatial data points MycoLasso interactive Leaflet map for exploring geospatial data
R Shiny Leaflet

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

Urban tree detection from satellite imagery using a U-Net deep learning architecture Deep learning segmentation results for automated urban tree detection and counting
Computer Vision Python Deep Learning

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

FEAther R Shiny app for functional enrichment analysis of biological data FEAther interactive plots and tables visualizing functional enrichment results
R Shiny Functional Enrichment Analysis

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

Fruit proteomics differential protein expression analysis across five species Statistical analysis in R of the fruit proteome across developmental stages
R Functional Enrichment Analysis Proteomics

Publications & Reports

Papers

  • Simulating population pangenomes under coalescent demographic models with MSpangenome L. Piat, S. Denni, S. Dubois, B. Linard, L. Duvaux bioRxiv, 2026 bioRxiv
  • A reference genome assembly for Quercus canariensis Willd F. Couturier, C. Cravero, I. Lesur, J. Confais, E. Belmonte, L. Piat, W. Marande, C. Rellstab, M. Valbuena, E. Saez-Laguna, L. Duvaux bioRxiv, 2026 bioRxiv

Posters & Conference Presentations

  • MSpangepop: Simulating complex structural variants under advanced demographic scenarios using the coalescent L. Piat, S. Denni, S. Dubois, F. Couturier, N. Lapalu, B. Linard, C. Lemaitre, L. Duvaux JOBIM 2025, Bordeaux, France HAL
  • The pangenome of European white oaks: A new approach to identify potential barriers to gene flow F. Couturier, L. Piat, A. Mergez, F. Graziani, S. Denni, G. Magris, A. Szukala, M. Valbuena, S. Pinosio, C. Klopp, C. Rellstab, C. Plomion, E. Saez-Laguna, L. Duvaux EVOLTREE & Forgenius Final Conference, Nov 2025, Madrid, Spain HAL
  • The pangenome of European white oaks: A new approach to assess genetic diversity F. Couturier, L. Piat, S. Denni, A. Mergez, G. Magris, A. Szukala, M. Valbuena, C. Plomion, S. Pinosio, E. Saez-Laguna, C. Klopp, L. Duvaux Doctorales de la foret, Feb 2025, Poitiers, 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 M. Nurmukhambetov, C. Salzmann, K. Verhaeghe, L. Piat Erasmus+ research project, University of Groningen, March 2024

Contact

Feel free to reach out for collaborations or opportunities!

lucienpiat33@gmail.com