Short Bio
Engineering degree, AgroParisTech
Thesis title
Machine Learning approaches for joint image and omics analyses in cancer
Short abstract
Spatial transcriptomics is a technology that uses spatial analysis to measure the positional context of mRNAs in a tissue. The combination of tumour imaging (e.g. pathological slides) and spatial transcriptomics provides extremely rich information, potentially leading to a better understanding of the mechanisms of tumour progression. My project aims to develop new analytical concepts and tools for analyzing multi-modal omics and spatial omics data of cancer patients, to achieve this goal.