Biography
Xiao Gu is a UKRI Smart Data Research Fellow and a Senior Research Associate in Medical AI in the Department of Engineering Science at the University of Oxford, where he is also an Honorary Researcher at Oxford University Hospitals, and a Junior Research Fellow in Mansfield College. His research develops "Sensing Intelligence": AI systems that decode the latent "language'' of human physiology and behaviour to advance medical AI and digital health. His work spans (i) fundamental sensor-modelling methods for scarce, imperfect, and heterogeneous sensor informatics; (ii) biomedical sensing foundation models that scale these methods into reusable models of human physiology; and (iii) sensor-augmented medical intelligence for clinically useful decision support and patient care.
He has published more than 50 papers, including 14 as first or corresponding author, with over 1,200 citations and an h-index of 22 to date. He devised and led a large-scale multimodal cardiac foundation model pretrained on biosignals from 1.7 million individuals, published as a front-cover article in Nature Machine Intelligence 2026 Feb. His research has been recognised through a STEM for Britain finalist award and Imperial's Dean's Prize, and he has secured approximately GBP250K in competitive Principal Investigator funding as an early-career researcher, including an Oxford Medical and Life Sciences Translational Fund award. Alongside his academic work, he contributes to translation through consultancy with an Oxford Science Enterprises-backed spin-out. He also leads interdisciplinary projects with clinical, community-care, global-health, and industry partners, and contributes to the wider research community through workshops at NeurIPS, ICRA, ECCV, and BMVC, as well as guest-editing special issues in medical AI journals such as JBHI, a leading journal in biomedical and health informatics.
Research Interests
- AI for Healthcare
- Biomedical Signal Processing
- Wearable/Ambient Intelligence
- Medical Foundation Models
