James Gardner

James is a first-year PhD student studying deep inverse rendering for photorealistic augmented reality. He is particularly interested in generative models and self-supervised learning, specifically when used to infer illumination, reflectance properties and shape from a single, uncontrolled image of an arbitrary scene. More generally, his focus is on building AI systems that can glean a deeper, more nuanced understanding of reality beyond what is specified in training data sets. He holds an MEng in Electronic Engineering from The University of York, for which he was awarded the IET Prize for outstanding performance on an IET accredited degree and the Malden Owen Award for the best graduating student on an MEng programme.