David Clifton

Professor David Clifton holds the Royal Academy of Engineering Chair of Clinical Machine Learning at the University of Oxford's Department of Engineering Science. He leads the Computational Health Informatics (CHI) Laboratory, which focuses on AI-driven interventions in healthcare settings and their application in low- and middle-income countries. The lab specializes in non-imaging AI methods, including foundation models, time-series analysis, natural language processing, and -omics data. His research emphasizes the development of in-hospital and in-home systems for practical use. Professor Clifton's work has been commercialized through university spin-out companies and collaborations with industrial bodies.

David A. Clifton is a Chair of Clinical Machine Learning at the University of Oxford, specializing in Machine Learning, Clinical AI, and Biomedical Signal Processing. His research focuses on developing AI-driven tools for clinical decision support, particularly in critical care and infectious diseases. He has published extensively on topics such as respiratory rate estimation from physiological signals, tuberculosis drug resistance prediction using genomic data, and the application of large language models in medicine. His work emphasizes the integration of machine learning with clinical data to improve patient outcomes and healthcare delivery.