Blanche Francheterre
Interpretable Methods in Unsupervised and Supervised Learning for Multisource analysis of Exposome Data and Prediction of cancer outcomes (2024-xx, 50%)
Blanche’s thesis deals with variable selection and dimension reduction methods for pan cancer data with multiple outcomes and observed through multiple omics, including exposome data. It is supported by the H2020 project DISCERN and co-supervised with Marc Chadeau-Hyam at Imperial College.