Professor David Clifton is the Royal Academy of Engineering Chair of Clinical Machine Learning at the University of Oxford, and leads the Computational Health Informatics (CHI) Lab which focuses on “AI for Healthcare”.  He is also NIHR Research Professor, appointed as the first non-medical scientist to the NIHR’s “flagship chair”.

He is OCC Fellow in AI & ML at Reuben College, a Research Fellow of the Royal Academy of Engineering, Fellow of the Alan Turing Institute, Visiting Chair in AI for Health 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 previous research resulted in patented systems for jet-engine health monitoring, used with the engines of the Airbus A380, the Boeing 787 “Dreamliner”, and the Eurofighter Typhoon. Since 2008, he has focused mostly on the development of AI-based methods for healthcare. His research has been commercialised via university spin-out companies OBS Medical, Oxehealth, Biobeats, and Sensyne Health, in addition to collaboration with multinational industrial bodies.

In 2018, the CHI Lab opened its second site, in the Oxford University-owned research labs in Suzhou (China), which focuses on open research in “Digital Health” using public data.  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 low-income countries.  In 2021, the Oxford-CityU Centre for Cardiovascular Engineering was opened in Hong Kong, of which he is co-director.  In 2022, the Pandemic Sciences Institute opened at Oxford, of which he is an investigator and where CHI Lab provides its AI theme.

His research has won over 40 awards; 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.  He was the recipient of the IEEE Early Career Award in 2022, given to one engineer annually for achievements within the first ten years of their academic career.  He has previously taught widely across Oxford undergraduate and graduate courses in mathematics, statistics, and machine learning.