About me

I am a mathematician with a strong interest in applied sciences. My research interests include complex networks, time series analysis, neuroscience, and information theory, with a special focus on higher-order models and their application to large-scale systems. These days I am focusing on developing new methods for the inference of higher-order dependencies in multivariate time series, with application to fMRI/MEG brain data and economics.

Currently I work as a Postdoctoral Researcher at the Neuro-X Institute at EPFL in the Geneva campus. I work under the guidance of Prof. Dimitri Van De Ville in the Image Processing Lab and Dr. Enrico Amico.

Previously, I worked as a research assistant at the Queen Mary University of London. Before that, I got my PhD in Applied Mathematics at Queen Mary, University of London in the Complex Systems and Networks Group, under the supervision of Vincenzo Nicosia and Lucas Lacasa. I spent part of my PhD at The Alan Turing Institute as an enrichment doctoral scheme.

I got interested in complex networks starting from 2014 visiting for three months the Complex System and Networks group at Queen Mary University (other four months in 2016) under the supervision of Vito Latora and Vincenzo Nicosia). I took a degree in Mathematics and a Master in Applied Mathematics both from the University of Catania. I was also enrolled in the Scuola Superiore di Catania, an institution that gives talented students from the University of Catania complementary and advanced classes and encourages them to start research projects before graduation. My master’s thesis supervisor and “tutor” on behalf of the Scuola Superiore was Giuseppe Nicosia. You can find more about me here.