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
    • Simulation Study
    • 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.
    • Simulation Study
    • R programming
  • 2020

    Rennes, France

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

Education

  • 2023–2026

    Paris, France

    PhD in applied mathematics
    Université Paris Cité
    • Subject: Modelling and statistical analysis of communication between T-cells and dendritic cells. Under the supervision of Fabien Crauste and Marie Perrot-Dockes.
  • 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.

Certificates

Publications

Scientific Involvement

  • 2024–Pres
    Elected Member, MAP5 Laboratory Council
    Elected to represent PhD students on the laboratory’s council.
  • 2024–2025
    Regular Speaker, Femmes et Mathématiques Online Speed-Meetings
    Participated regularly in online sessions organized by the Femmes et Mathématiques association, aimed at inspiring female high school students to pursue studies in mathematics.
  • 2025
    Outreach Talk on Classification Algorithms
    Gave an accessible presentation on classification algorithms to high school interns hosted at the MAP5 laboratory.
  • 2024–2025
    Speaker, “Math C pour L” Workshops
    Workshops co-organized by the SFdS, SMAI, and SMF for female undergraduate students, aimed at introducing them to various aspects of mathematical research and encouraging them to consider careers in this field.
  • 2025
    High School Outreach, Lycée Jean-Macé, Rennes
    Led two sessions with 11th-grade classes on the topic “Becoming a Scientist: A Gendered Choice?”
  • 2024
    Participant, “For Girls in Science” MAP5 Speed-Meeting
    Took part in a discussion session with female students, highlighting the diversity of women’s career paths in science and research.

Skills

Statistics
Biostatistics
Statistical Modelling
Supervised Learning
Unsupervised Learning
Programming
R (advanced)
Python (intermediate)
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