About
Chris is a Senior Enterprise Fellow as part of the IT Innovation Centre within the School of Electronics and Computer Science. He is also part of the Digital Health and Biomedical Engineering Research Group and holds honorary positions within the NHS, including University Hospitals Southampton Foundation Trust.
Chris has significant experience in translating AI research into real-world impact in industry and the NHS. He is currently PI on PROCED-DST which considers how machine learning could support clinicians manage complex discharge and is CO-I on a number of a number of large-scale interdisciplinary research programmes at the boundary of technology and society (e.g., healthcare, finance).
Chris' main area of expertise lies in AI and transparency, aiming to understand how best to communicate and involve everyone in the design of machine learning. Chris' technological interests include data drift, explainable machine learning (XAI), knowledge graphs and large language models.
Chris’ original background is Astrophysics (St Andrews & Flatiron Institute) but switched to Digital Health in 2021. More in the biography.
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