Antimicrobial resistance (AMR) is one of the leading public health concerns of the 21st century and is becoming an increasingly intractable problem as the continued overuse of antimicrobials in health and agriculture is exacerbating the rate at which resistance is developing and propagating. In collaboration with Oracle, my DPhil project therefore focuses on building generalisable machine learning and deep learning models featurised with structural and physiochemical information of the drug target to predict AMR against <i>Mycobacterium tuberculosis</i> within a diagnostic framework. I am also a member of the Modernising Medical Microbiology group at the NDM.