After working as a software engineer, I returned to academia motivated by a desire to contribute to knowledge discovery and the development of novel computational methods. This aspiration and my interest in biomedical research, brought me to the Computational Immunology Group, where I began my PhD in 2021. During my doctoral work, I developed a passion for analyzing digital pathology images of the tumor–immune microenvironment and for identifying clinically meaningful cancer biomarkers. I believe that real breakthroughs in immuno-oncology research can be achieved through a holistic approach that combines rigorous statistical analysis, modern AI methods, and close collaboration between computational scientists and clinicians.