The topology of mental states: combining big data science and graph theory to reveal neural networks for cognitive functions
After studying Philosophy and Cognitive Science in Naples, Mainz (bachelor), and Rome (master), Andrea obtained his PhD in Computational Neuroscience from the University Pompeu Fabra, Barcelona (Spain). His PhD work focused on brain processes involved in decision confidence computation, using biophysical modeling and statistical analysis of neurophysiological data. Currently he is working at the Center for Brain and Cognition of the University Pompeu Fabra as a postdoctoral researcher. He is interested in applying mathematical modeling, machine learning and graph theory to explain the brain functions and dis-functions. To this aim, Andrea take a global approach, studying the brain as a whole in order to understand how different parts of the brain interact. In particular, he is interested in unraveling the networks underlying different mental states, brain disorders, and cognitive tasks.