CV

Basics

Name Lucie Brolon
Label PhD Student
Email lucie.brolon at math.cnrs.fr
Languages French (native), English (advanced), German (intermediate)

Work

  • 2023–pres

    Paris, France

    PhD, applied mathematics
    Subject: Modelling and statistical analysis of communication between T-cells and dendritic cells. Under the supervision of Fabien Crauste and Marie Perrot-Dockes.
    • Applied Mathematics
    • Random Forest
    • Immunology
    • R, Python Programming
  • 2021–2023

    Paris, France

    Research engineer, epidemiology
    Research engineer INSERM - Pasteur Institut. Management of SNDS data (National Health Data System) relating to the Covid19 epidemic. Descriptive statistics and care pathway analysis of wave 1 Covid patients.
    • Data Management
    • Statistical Analysis
    • SAS & R Programming
    • Epidemiology
  • 2021

    Paris, France

    Internship, statistical biomarkers
    Performance evaluation of different models (ANOVA, ANCOVA, LIMMA) for the identification of pharmacodynamic biomarkers in clinical trials. Study by data simulation. 6-month internship.
  • 2020

    Rennes, France

    Internship, statistics
    Implementing customer segmentation, developing dashboards for the businessteam in Tableau Software. 3-month internship.

Education

  • 2018–2021

    Rennes, France

    Msc in Statistics and Data Analysis
    ENSAI
    • National School for Statistics and Data Analysis / Ecole nationale de la Statistique et de l'Analyse de l'Information. French engineering degree.
  • 2020–2021

    Rennes, France

    Msc in Public Health Research
    Université de Rennes I
    • Master in Public Health Research, with a specialization in epidemiology and clinical pharmacology.
    • Dual degree in conjunction with studies at ENSAI.

Scientific Involvement

June 2024 & 2025
June 2025
March 2025
February 2024
2024 – 2025
Oct. 2024 – present

Skills

Statistics
Biostatistics
Statistical Modelling
Supervised Learning
Unsupervised Learning
Programming
R (advanced)
Python (advanced)
SAS (advanced)
SQL (beginner)
C++ (beginner)

Academic Interests

Biostatistics
Application in immunology
Application in epidemiology
Supervised learning
Random Forest
Simulation study
Interpretable algorithm

Other Interests

Music
Piano
Guitar
Group play (pop and rock)
Creative hobbies
Handball
Roller