Consultant in Infection (Oxford University Hospitals NHS Foundation Trust), NIHR Oxford Senior Research Fellow, Oxford Martin School Fellow
I work as a Consultant in infectious diseases and medical microbiology at the John Radcliffe Hospital in Oxford and also run a portfolio of research studies investigating various aspects of: (i) antimicrobial resistance (AMR), particularly in Enterobacterales; (ii) One Health and AMR gene dissemination/pathogen spillover across reservoirs; (iii) rapid diagnostics, including projects on nanoimaging, antigen/antibody tests, and pathogen sequencing, including DNA and RNA sequencing of isolates, and metagenomic sequencing of clinical samples; and (iv) epidemiology of infectious diseases more broadly, including SARS-CoV-2.
I am currently co-supervising four DPhil students and am a member of the Leadership Committee of the Medical Research Foundation's National PhD Training Programme in AMR Research (https://amrtraining.ac.uk/) - a highly interdisciplinary programme specifically designed to incorporate multi-disciplinarity in AMR research.
I am very active in grant and peer review, am on the editorial board of Antimicrobial Agents and Chemotherapy, and support my students in their roles on Microbial Genomics' Early Career Board of Reviewers. I am also strongly supportive of patient and public involvement and engagement (PPIE) in research, having most recently developed a hands-on community programme structured around theatre in educating children and their caregivers about microbes, infections and AMR.
Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli.
Zagajewski A. et al, (2023), Communications biology, 6
A workflow for the detection of antibiotic residues, measurement of water chemistry and preservation of hospital sink drain samples for metagenomic sequencing
Rodger G. et al, (2023)
Risk of SARS-CoV-2 reinfection during multiple Omicron variant waves in the UK general population
Wei J. et al, (2023)
High-resolution characterization of short-term temporal variability in the taxonomic and resistome composition of wastewater influent.
Chau KK. et al, (2023), Microbial genomics, 9
Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus onEscherichia coli
Davies TJ. et al, (2021)