Harry Rogers is a Postdoctoral Research Associate at the Institute of Biomedical Engineering (IBME), University of Oxford, working with Professor Alison Noble. His research focuses on human–AI collaboration in healthcare, particularly multimodal and explainable AI systems that can support more reliable, transparent and auditable clinical decision-making and assessment.

His current work investigates the use of AI for quality assurance and decision support in clinical examinations. He developed Quality Action Assurance (QAA), a multimodal framework that combines video, structured VR event data and large language models to verify examiner claims against candidate behaviour in virtual-reality OSCEs. His related work on RAVEN, an examiner-conditioned AI second marker, explores how examiner scores, reasoning and objective behavioural evidence can be combined to improve agreement in clinical assessment while identifying the implicit criteria that underpin expert judgement. The work emphasises selective, confidence-aware AI assistance with human adjudication rather than autonomous marking.

Harry completed his PhD at the University of East Anglia, supervised by Professor Beatriz De La Iglesia through the AgriFoRwArdS Centre for Doctoral Training and in collaboration with Syngenta. His PhD developed computer-vision, deep-learning and explainable-AI methods for automated evaluation of agricultural precision spraying.