Double BA english and french law, Université François Rabelais de Tours
MS Computational biology, Center for Interdisciplinary Research & Université de Paris
Machine learning approaches for the analysis of high-dimensional single-cell data.
Recent advances in genomics allow us to obtain for the first time large amounts of information at the level of individual cells (measuring the expression of thousands of genes for individual cells in a tumor, an organ, an embryo, etc.). My project is to develop machine learning methods to analyze this data and better understand cancer and how living things work.