My research mostly focuses on developing a new mathematical framework to analyze, understand, and explain functional connectivity networks both in human brains and artificial systems. 

More specifically, I am interested in defining new tools to detect the presence of a pathology in the human brain and provide new information and insights on the way the pathology affects brain connectivity.  I mainly work in resting-state functional connectivity networks and I have applied my proposal to Parkinsonian Patients with different symptoms or just-diagnosed and Comatose Patients. 

Concerning artificial systems, I am interested in the interpretability of the mechanisms of artificial neural network information processing, particularly in the presence of adversarial attacks or catastrophic forgetting phenomena.