My current research focuses on generating gene expression profiles across different states to model and trace cell evolution. More broadly, I am interested in integrating multi-omics data for virtual cell modelling, with the goal of tracking cellular dynamics, evaluating disease-related cell states, and enabling treatment design.

My PhD at King’s College London focused on developing explainable deep learning methods for reliable decision support based on medical imaging. In 2023, I participated in the Turing Enrichment Scheme at the Alan Turing Institute, where I focused on research in explainable and multimodal AI.

My research interests concern the theoretical development of generative, explainable, and multimodal AI methods, with primary application in the biomedical domain.