My research develops and applies novel machine learning methods to challenges in healthcare, medicine, and drug discovery. Methodologically, my work spans both predictive and generative methods, explainable AI, feature selection, causal inference, and learning from unlabelled data. From an application perspective, I am currently particularly interested in structure-based drug design.