Sue Astley leads research in breast radiomics at the University of Manchester. Her work includes evaluation of novel imaging technologies (CAD, DBT), developing software to detect abnormalities and discover imaging biomarkers, using eye tracking to learn how new imaging systems are best employed, and working closely with radiologists to achieve clinically useful solutions. As breast density lead for the 55,000 strong Predicting Risk of Cancer At Screening (PROCAS) study she has focused her attention on markers of breast cancer risk, harnessing the power of deep learning to exploit the trial data and improve risk prediction.