PhD student

Paris Sciences & Lettres – Complexité du vivant (Complexity of life)

luca.gortana [at] agroparistech.fr

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.