Giulia Nicoletti obtained her bachelor’s and master’s degree (cum laude) in Biomedical Engineering respectively in 2018 and 2020 at the Polytechnic of Turin. She specialized in the eHealth field with a thesis on the characterization of Prostate Cancer Aggressiveness based on AI and bi-parametric MRI. During her master’s thesis, she worked as a Researcher at the Department of Radiology of Candiolo Cancer Institute, FPO-IRCCS, Italy, focusing on both radiological and histopathological images for AI tumor characterization. From January 2021 to October 2021, she continued working on Pathomics as a Researcher under grant at the Department of Surgical Science of the University of Turin, Italy. In November 2021, she started her Ph.D. in Bioengineering and Medical Surgical Sciences at the Polytechnic of Turin and the University of Turin with a project focused on the development of Radio-Pathomics signatures for personalized chemotherapy treatment. Giulia joined the Computational Pathology Group as a visiting Ph.D. candidate in August 2023 with the aim of exploiting deep learning techniques to analyze histopathological images under the supervision of Geert Litjens.