cv

Table of contents

General Information

Full Name Nicolas Godron
Date of Birth 13th December 1998
Languages French, English

Education

  • 2024-ongoing
    PhD student in Microbiology
    University Paris Cité, Conservatoire National des Arts et Métiers
    • Developing a metagenomics–driven framework for assessing the risk of emergence of environmental antibiotic resistance genes in human-pathogenic bacteria
  • 2017-2023
    Pharmacy Doctorate (PharmD)
    University Paris Cité
    • Very Good Honors
    • Education in pharmaceutical, chemical and biological sciences
  • 2023
    Genomics, Informatics and Mathematics for Health and Environment (MSc)
    University of Evry - Paris Saclay
    • Very Good Honors
    • Courses
      • Advanced genomics & transcriptomics
      • Systems biology
      • High performance computing (HPC)
      • Data science
      • Algorithmics and metaheuristics

Experience

  • 2022-2023
    Research Masters internships (4 and 6 months)
    Infection, Antimicrobials, Modelling, Evolution (IAME) laboratory, Inserm UMR1137
    • Exploratory study of genomic determinants of Mycobacterium tuberculosis and their impact on clinical presentation.
    • Projects
      • Docker implementation of 4 Genomic-Wide Association (GWA) tools.
      • Genetic Algorithm for classification trees.
  • 2021-2022
    5-month internship
    AP-HP Saint-Louis Hospital
    • Clinical assesment of eligibility for innovative (antiviral, repurposed, and chemo- therapies) and blood-derived drugs
    • Urinary proteins electrophoresis

Tutoring and associations

  • 2025-2026
    President (2026) and VP (2025) of Bichat Young Researchers Association
    • The Bichat Young Researchers Association brings together young researchers from four Inserm labs (CRI, IAME, LVTS, Oral Health), to foster good working conditions and relations among early-career peers.
    • Yearly scientific conference organization
    • Quarterly social events
  • 2020
    Informatics tutoring
  • 2018-2019
    President of LaboPhotoPPV
    • Photography association of the pharmacy faculty of Paris (50 members)
  • 2017-2018
    English tutoring

Awards

  • 2023
    D4GEN Hackathon as Team Leader of PreExtinction
    • For this proof-of-concept, we collected IUCN, GBIF and meteorogical data and built a Machine Learning (XGBoost) model to predict Mollusca extinction status with 80% accuracy, all in 48 hours!

Academic Interests

  • Bioinformatics
    • Microbial Genome-Wide Association Studies (GWAS)
    • Microbial genomics and metagenomics
  • Microbiology
    • Antimicrobial resistance (AMR)
    • Phylogenetics

Other Interests

  • Hobbies: Chess, Guitar, Climbing