PhD Student | Biostatistician | R & Python
About Me
I’m a PhD student in Biostatistics and Genetic Epidemiology at CESP (Université Paris-Saclay, UVSQ, Inserm), Villejuif, in the HiDiBiostat team. My PhD is funded through M4DI, an interdisciplinary consortium developing methodological frameworks for multimodal biomedical data integration (ANR PEPR Santé Numérique).
My research focuses on developing graph-based machine learning methods to extract genotype-phenotype associations from heterogeneous, multi-scale cohort data (10,000 participants). Integrating clinical, pharmacological, and genomic data using network representations and deep learning approaches.
I am supervised by Anne-Louise Leutenegger (CESP/NeuroDiderot, INSERM), Anaïs Baudot (CNRS/MMG, Aix-Marseille Université), and Anne-Sophie Jannot (BNDMR, HeKA).
Before my PhD, I worked as a biostatistics consultant, leading statistical analyses and cohort project management for industry clients in the cosmetics sector.
When I’m not working, I love hiking and experimenting with creative projects.
Research Interests
- Graph Neural Networks & Representation Learning
- Knowledge Graphs for Biomedical Data
- Statistical Genetics & Genotype-Phenotype Associations
- Multi-Modal Data Integration
