Hugo Aerts is a Professor at Harvard Medical School and leads the Computational Imaging and Bioinformatics Lab at Dana-Farber Cancer Institute. His research involves using AI and radiomics to discover and validate biomarkers for cancer and other diseases.. His expertise lies at the intersection of medical imaging, informatics, and oncology, where he has pioneered the application of advanced computational methods to extract valuable biomarkers from medical images. Aerts' innovative work has enabled the identification of radiomic features that offer insights into tumor characteristics, treatment responses, and patient outcomes, thereby enhancing precision medicine approaches. As a thought leader, he has played a pivotal role in advancing the field's understanding of how radiomics can complement traditional biomarkers, driving the development of more holistic diagnostic and prognostic tools.