PhD (University of Nottingham, 2022) in Deep Learning and Computer Vision with focus on localisation tasks, particularly landmark detection and human pose estimation. Has previously interned as a Machine Learning Engineer at SamsungAI Cambridge (2020-2021) and also worked in enterprise software development. His research experience includes areas such as self-supervised learning, semi-supervised learning, self-training and learning from noisy data. Particularly interested in deep learning techniques for training neural networks under minimum manual supervision.