Ingénieur Civil des Mines de Paris – Mines ParisTech (Master’s degree in Science and Executive Engineering)
Master 2 – Mathématiques, Vision & Apprentissage – ENS Paris-Saclay (MVA Master’s degree)
Spatial and Temporal Heterogeneity of single cell transcriptomic data.
Spatial transcriptomics is a new kind of technology that allows biologists to measure both transcriptomic information and spatial locations in tissues. My project aims to develop methods (such as clustering, dimensionality reduction algorithm…) for the analysis of such multimodal data. In particular, we are mainly interested in the links between spatial organization and transcriptomic heterogeneity within tissues.