The Summer School aims to address cross-cutting mathematical approaches in imaging sciences and machine/deep learning, which are essential for young PhD students and researchers interested in exploring the fascinating connections between these disciplines. The school aims to provide students with both theoretical and applied foundations in the mathematics of machine learning for imaging, along with an overview of challenging applications.