Daniel’s research has focused on explainable AI (XAI) methods using saliency mapping, with practical applications in Brain Age Regression. His MSc dissertation was an expansion of his honours project, creating saliency maps for brain age predictions. He has also spent time researching GANs and Capsule Networks.