Natalia is a PhD student funded by the King’s College Digital Twins for Healthcare CDT and Siemens. Her research focuses on multi-modal causal modelling of dementia, particularly Alzheimer’s disease. She aims to tackle key challenges in causal discovery for healthcare and develop models that integrate medical imaging and tabular data to better capture disease progression and enable personalised treatment.

Prior to joining the lab, she completed an MRes in Bioinformatics and Theoretical Systems Biology at Imperial College London, where she also earned her BSc in Biochemistry. During this time, she worked on various projects, including Bayesian deep learning models, sparse attention mechanisms for transformers and image classification tasks among others.