Accurate prediction of molecular properties, such as protein-ligand affinity, off-target binding, toxicity, and mutagenicity, is an intrinsic component of small molecule drug discovery. My research focuses on the development of robust and generalisable computational tools that elucidate greater structural understanding of the interactions between small molecules and proteins. I am particularly interested in the application of novel deep learning methods and evaluating whether these approaches are capable of learning inherent biochemistry binding interactions.