Dylan Adlard
DPhil student
Reproducible AMR catalogues and predictions for Tb diagnostics
I am a DPhil student under the supervision of Philip Fowler and David Eyre, working within the Modernising Medical Microbiology group. My research focuses on developing statistical methods to classify antimicrobial resistance (AMR) variants in Mycobacterium tuberculosis, with the goal of building reproducible catalogues that inform drug susceptibility profiles within a diagnostic framework. I also design inferential models trained on structural and physicochemical data of drug targets, allowing susceptibility predictions to extend to novel or unseen mutations. A key aspect of my work is ensuring full reproducibility and implementing sustainable, full-stack software development practices.
Recent publications
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Predicting rifampicin resistance inM. tuberculosisusing machine learning informed by protein structural and chemical features
Lynch CI. et al, (2025), ERJ Open Research, 00952 - 2024