- Real-time detection of multidrug resistant tuberculosis and transmission in England
Joint with David Wyllie, molecular microbiologist, this project is focused on developing statistical methods for recognizing transmission clusters, integrating genomics approaches with molecular typing schemes and developing future-proof taxonomy for strain identification.
- Tracking future infection threats using genomic data and electronic health records
Joint with David Clifton, biomedical engineer, this project aims to develop new machine learning and statistical methods to identify genomic markers of antibiotic resistance and susceptibility within various pathogens, to help track future infection threats.
In addition to my projects, the Modernising Medical Microbiology project has announced the following PhD projects as part of the competition:
- Antimicrobial resistance gene/vector transmission across human, animal and environmental reservoirs
Supervised by Nicole Stoesser, Nicola De Maio and Derrick Crook
- Healthcare big data and genomics for infectious disease threat detection
Supervised by David Clifton, David Eyre and Tim Peto
- Prediction of Mycobacterium tuberculosis drug resistance through genome sequencing clinical samples
Supervised by Tim Walker and Tim Peto
- Antibiotic resistance in Tuberculosis: Predicting de novo the effect of individual genetic mutations
Supervised by Phil Fowler and Sarah Walker
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