I work in the areas of optimisation, statistical modelling and machine learning, specialising in computer vision. I am experienced in designing, training and deploying deep neural networks for a range of computer vision tasks. My research interests include Image Recognition and Segmentation, Predictive Modelling, Reinforcement Learning, Generative Adversarial Networks, Bayesian Optimisation and Neural Radiance Fields. I am proficient in Tensorflow, PyTorch and Caffe deep learning frameworks. I primarily code in Python and C++/CUDA.