Dylan Dissanayake
DPhil student
I am a DPhil student on the Computational Discovery programme, in the Fowler lab and co-supervised by IBM Research. My research is broadly in Machine Learning & Biochemistry - more specifically, I look at developing machine learning methods for predicting drug resistance in pathogens. I have a particular focus on protein structural deep learning, using methods such as graph neural networks to model the bound structure of a drug and its target protein, and learn whether mutations in the protein can perturb this interaction (or have other effects unrelated to binding) potentially leading to drug resistance.
Recent publications
Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network
Journal article
Dissanayake D. et al, (2026), BMC Microbiology, 26
Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network
Preprint
Dissanayake D. et al, (2025)