My research spans two main lines:

Brain Network Estimation via Source Separation (NESS)
My primary focus is the development of NESS—Network Estimation via Source Separation—an analytical framework co-developed with Prof. Leonardo Bonetti (Center for Music in the Brain, Aarhus University; Centre for Eudaimonia and Human Flourishing, Oxford University). NESS is a multivariate framework designed to estimate brain networks from source-reconstructed MEG/EEG. 

Interpersonal Coordination Dynamics
Expanding on the core of my PhD research, I study the behavioral and neural dynamics of interpersonal coordination. Building on methodological advances in EEG hyperscanning, I am currently scaling dyadic paradigms to group interactions (4-person settings), with a focus on ingroup–outgroup dynamics and collective synchronization.

Centre for Eudaimonia and Human Flourishing, University of Oxford (Oxford, UK)
Development of NESS (Network Estimation via Source Separation) for brain network analysis using source-reconstructed MEG.

Main collaborators: Leonardo Bonetti.

RITMO Centre, University of Oslo (Oslo, Norway)
Application of NESS to intracranial EEG (iEEG) data for anatomically grounded network estimation.

Main collaborators: Alejandro Blenkmann.

Neuroscience of Perception and Action Laboratory (NPA Lab), Italian Institute of Technology (Rome, Italy)
Extension of NESS to decompose complex patterns of full-body human motion.

Main collaborators: Giacomo Novembre, Félix Bigand.

IPEM – Institute for Psychoacoustics and Electronic Music, Ghent University (Ghent, Belgium)
EEG hyperscanning studies on interpersonal coordination.

Main collaborators: Pieter-Jan Maes, Marc Leman.