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David Eyre is a Professor at the University of Oxford in the Medical Sciences Division, specializing in Infectious Diseases. His research aims to understand, prevent, treat, and monitor infections. With a background as a Robertson Fellow and as an Infectious Diseases Clinician, he focuses on developing artificial intelligence tools to assist in diagnosing and treating patients in hospital settings. His work spans a wide range of approaches, including epidemiology, statistics, causal inference, and machine learning, utilizing detailed de-identified healthcare record data at both regional and national levels. Professor Eyre has extensive programming and database expertise, contributing to various projects aimed at enhancing the understanding of infection epidemiology. His research interests dissect the applications of whole-genome sequencing in understanding the transmission of bacteria, viruses, and fungi, alongside mathematical modeling infectious disease spread. He is particularly focused on leveraging sequencing technologies as innovative tools for culture-independent microbiology diagnostics, which promise the potential for same-day infection diagnosis compared to the conventional days-long process of bacterial cultivation in laboratories. He collaborates with the Modernising Medical Microbiology consortium and contributes to the Oxford NIHR Biomedical Research Centre and the NIHR Health Protection Research Unit.
Department of Politics and International Relations - Higher Level English requirement.