I’m a PhD Candidate at the Chair for Artificial Intelligence in Medicine (TUM) and member of the Konrad Zuse School for Excellence in Reliable AI. Before starting my PhD, I graduated from Imperial College London with an MSc. in Advanced Computing and a BSc. from the University of Sussex. My research is broadly focused around theoretical and practical aspects of trust and reliability in machine learning (ML) for medicine. I’m particularly interested in: understanding why and how neural networks memorise their training data; improving utility & reliability of differentially private ML; bias and fairness issues related to the deployment of ML models; and ML for scientific discovery and precision medicine.