David Clifton DPhil (Oxon) MEng

Professor of Engineering Science

  • Biography
  • Research
  • DPhil Opportunities


Professor David Clifton is Professor of Clinical Machine Learning and leads the Computational Health Informatics (CHI) Lab. He is a Research Fellow of the Royal Academy of Engineering, Visiting Chair in AI for Healthcare at the University of Manchester, and a Fellow of Fudan University, China. He studied Information Engineering at Oxford's Department of Engineering Science, supervised by Professor Lionel Tarassenko CBE. His research focuses on 'AI for healthcare'.

In 2018, the CHI Lab opened its second site, in Suzhou (China), with support from the Chinese government. In 2019, the Wellcome Trust's first "Flagship Centre" was announced, which joins CHI Lab to the Oxford University Clinical Research Unit in Vietnam, focused on AI for healthcare in resource-constrained settings.

He is a Grand Challenge awardee from the UK Engineering and Physical Sciences Research Council, which is an EPSRC Fellowship that provides long-term strategic support for nine "future leaders in healthcare." He was joint winner of the inaugural "Vice-Chancellor's Innovation Prize", which identifies the best interdisciplinary research across the entirety of the University of Oxford.

Research Interests

Research in the Computational Health Information (CHI) Laboratory focuses on the development of real in-hospital and in-home systems for AI-driven interventions that are used in practice. Translation into the developing world is a parallel research theme.

The lab has a focus on non-imaging AI applications: time-series analysis, -omics data, and sensor informatics.

Current Projects

  • Whole-hospital surveillance for predicting physiological deterioration
  • Constructing AI-based approaches to operationally running the hospital
  • Fusing the hospital/home boundary with intelligent healthcare wearables
  • Home-based monitoring of patients with long-term conditions
  • Predicting antibiotic resistance from sequencing data
  • Phenotyping immune diseases from –omics and electronic health record data
  • Improving access to clean water in the developing world
  • Translating the above activities to and from healthcare systems in China

DPhil Opportunities

CHI Lab offers a wide range of complex, real-world projects in AI for healthcare.