Bio

Dr Ali Gooya is a Lecturer in Computer Science in the School of Computing

Research interests

Ali Gooya’s research interest broadly lies in the intersection of the machine learning, computer vision and medical imaging and consists of probabilistic deep learning, reinforcement learning, with the target applications in cancer image analysis, computer aided decision support systems, prediction and marker discovery, statistical inference on populations, and computational anatomy. His research vision is to aspire unsupervised machine learning for AI in the healthcare, as expert annotations in this particular field are sparse. He is particularly experienced in creating methodologically innovative deep Bayesian frameworks, often involving rigorous mathematical modelling, as evidenced by his publications in IEEE TPAMI as the first author.