Background

I have a background in biomedical engineering and completed my PhD in Neuroscience at Aix-Marseille University in 2018, where I focused on characterising epileptic markers in intracranial EEG.

Current project

The research of my group, funded by an Ambizione grant by the SNF, focuses on the development and application of advanced signal processing methods for the analysis of human electrophysiological recordings, whether invasive (iEEG) or non-invasive (EEG and MEG), specifically in the context of epilepsy.

Brain Connectivity: Epilepsy is a brain network disease and brain connectivity appears to be an idea tool to characterise epileptic brains. Non-invasively derived brain connectivity metrics need to be validated with a gold standard. Our aim is to take advantage of the rare simultaneous hd-EEG-iEEG recordings to validate them.

Postsurgical Outcome Prediction: By combining connectivity/network analysis and clinical data, we aim to develop a machine learning algorithm, coupled to a clinical report, to predict which patients might benefit from resective surgery.