I am a postdoctoral researcher in the Laboratory of Computational, Quantitative and Synthetic Biology (CQSB) at Sorbonne University, working with Élodie Laine and Hugues Richard. My postdoc is funded by the ERC Consolidator Grant PROMISE, led by Élodie Laine. My current research focuses on computational and deep learning approaches based on Evolutionary Splicing Graphs (ESG) to represent protein isoforms and study their interactions.
I defended my PhD in bioinformatics in October 2025 at Mines Paris - PSL, within the Center for Computational Biology (CBIO). My PhD was supervised by Véronique Stoven and Chloé-Agathe Azencott, in collaboration with Clara Nahmias at Gustave Roussy Institute, and funded by the DIM AI4IDF. During my PhD, I developed machine learning and systems biology approaches to study ATIP3-deficient triple-negative breast cancers.
More broadly, I am interested in machine learning and deep learning methods for biological sequences, molecular interactions, foundation models for biology, and biomedical applications.