Short bio
M2, École polytechnique – MVA
Thesis title
Multimodal and integrative analysis of genomics, radiomics and pathological data for the prediction of response to immunotherapy in lung cancer.
Short abstract
We aim to develop supervised and unsupervised machine learning methods to identify signatures of the response to immunotherapy in non-small cell lung cancer, through the integration of genomics, radiomics (extracted from PET and CT images) and pathological data. We will interpret them to decipher biological pathways and mechanisms modulating immune responses.