I use graph and simplicial representations of data and tools from Topological Data Analysis and AI - from traditional statical to modern artificial neural network approaches.

Most recently, I focused on digital health and the relationship between patient movement in hospital and adverse outcomes such as nosocomial infections and increased length of stay. I have also investigated potential graph based biomarkers for early detection of schizophrenia, the effect of psychedelics on brain function using persistent homology and how to uncover social interaction mechanisms by adapting the modularity null-model.

A more theoretical aspect of my work looks at characterising fundamental properties of graph and simplicial objects and how they influence dynamical and information transformation processes.

All my research emerges from common efforts and nothing would be possible without all my fantastic colleagues and collaborators.