Danilo Benozzo is a postdoctoral research fellow.
He joined the FAIR lab in 2020 to conduct research on methods for effective connectivity analysis.
His research is mainly based on studying resting-state function MRI data by using Dynamic Causal Models and Granger-based methods.
Previously, he had a postdoctoral fellowship from the Behavioral Neurophysiology Lab (Sapienza, University of Rome, Italy) to work on mathematical models to identify neural correlates of behaviors from recordings of neuronal populations.
He received a Ph.D. in computer science at the University of Trento and a master’s degree in biomedical engineering from the University of Padova.