I am interested in using mathematical modelling and data analysis to help advance epilepsy diagnosis, prognosis, and treatment. My research is focused on using neural mass models and network theory to assess brain networks inferred from electrophysiological data (both scalp and intracranial EEG) and neuroimaging (MRI) with the aim of uncovering the mechanisms responsible for epilepsy. I have developed methods to quantify and predict the outcome of epilepsy surgery, to forecast epileptic seizures, and to classify different epilepsy types.