Since September 2024, I have been an Associate Professor at Université Paris Cité.

Research Interests

My research is structured around two complementary directions: the development of statistical methods motivated by genetic and omics data analysis to investigate risk factors for complex diseases, and the application of advanced statistical methods to large-scale epidemiological data.

Machine-Learning
- High-dimension
- Meta-analysis models
- Bayesian models
- Variable selection

Quantitative Genomics
- Statistical genetics
- Epidemiology of complex diseases
- Multi-omics data integration

Background

Year Position Institution
Since 2024 Associate Professor Statistics Team, MAP5 Laboratory, Université Paris Cité, CNRS
Since 2025 Research associate Exposome & Heredity Team, Center for Epidemiology and Population Health (CESP), Inserm UMR 1018, Université Paris-Saclay, UVSQ
2020–2024 Postdoctoral Researcher Laboratory of Mathematics and Their Applications of Pau (LMAP), Université de Pau et des Pays de l’Adour
2023 Invited Research Fellow Department of Mathematics and Statistics, Macquarie University, Sydney, Australia
2020 Invited Research Fellow ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Queensland University of Technology, Brisbane, Australia
2019 Postdoctoral Researcher Neuroepidemiology Team, CESP, Inserm UMR 1018, Université Paris-Saclay, UVSQ
2018 Biostatistician Cancer Epidemiology, Genes & Environment Team, CESP, Inserm UMR 1018, Université Paris-Saclay, UVSQ
2013–2018 PhD student Genetic Variability and Human Diseases Team, Inserm U946
2012–2013 Biostatistician Genetic Variability and Human Diseases Team, Inserm U946

Education

Year Degree Institution
2018 PhD in Epidemiology and Biomedical Information Science Sorbonne University
2012 ISUP Diploma in Statistics (Biostatistics) Institute of Statistics, Sorbonne University
2012 MSc in Mathematics and Applications (Statistics) Sorbonne University
2012 Inter-University Diploma in Statistics for Public Health, Medicine and Biology (CESAM) Sorbonne University

Supervision and mentoring

PhD supervision

  • Christina Feng (since 2023), PhD student at the Department of Mathematics and Statistics, Macquarie University (Sydney, Australia). Joint supervision together with Benoit Liquet.
    Thesis topic: Advancing multivariate methods for detecting pleiotropy using GWAS summary statistics.

Master’s supervision

  • Eva Jaber (2024), MSc internship in Health Data Science, Université Paris-Saclay.
    Project: Methods for pleiotropy analysis with applications to Parkinson’s disease and cancers.

  • Donna-Lee Bowie (2022), MSc internship in Bioinformatics, Université de Bordeaux. Joint supervision with Yazdan Asgari. Project: Network enrichment analysis of pleiotropic genes for breast cancer and thyroid disorders.

  • Amélie Ngo (2021), MSc internship in Public Health Methods, Université Paris-Saclay.
    Project: Analysis of shared genetic risk factors between Parkinson’s disease and cancers.

Service and responsabilities

  • Since 2025 — Elected member of the Council of the Faculty of Mathematics and Computer Science, Université Paris Cité.

Scientific Outreach