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Dylan Adlard

MBiochem, DPhil

Postdoctoral Researcher

Computational Mycobacteriology

Genetic-based predictions of AMR in mycobacteria

I am a postdoctoral researcher in the Modernising Medical Microbiology Unit, working with Philip Fowler. My research focuses on developing statistical methods to classify antimicrobial resistance (AMR) variants in Mycobacterium tuberculosis and non-tuberculous mycobacteria, with the aim of predicting drug resistance profiles in clinical samples to inform diagnosis, global AMR surveillance, and drug development pipelines.

I am primarily affiliated with the Ineos-funded Oxford Consortium Drugs for TB (OxCoD4TB) project, where we leverage existing genetic variation to advise novel lead compound generation. 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.