About Me
I am a Ph.D. student at the Graph Machine Learning Group, within the Swiss AI lab IDSIA and USI - Università della Svizzera italiana (Switzerland), under the supervision of Prof. Cesare Alippi. Additionally, I am enrolled in the ELLIS Ph.D. program under the joint supervision of Prof. Alippi and Prof. Michael Bronstein. I have been a visiting researcher at the University of Oxford with Prof. Bronstein.
Previously, I obtained BSc (2017) and MSc (2020) degrees in Computer Science and Engineering at Politecnico di Milano (IT). My master thesis project has been supervised by Prof. Nicola Gatti.
What I'm Doing
My research focuses on graph deep learning for irregular spatiotemporal data. I'm interested in the application of graph-based methods in problems regarding data coming from sensor networks, like imputation, regularization, and prediction of observations.
You can find a list of my publications here.
Spatiotemporal data
Irregular data
Graph Neural Networks
Real-world applications
Open Source Projects
I strongly believe in the worldwide accessibility of science. As such, I make the software I develop for my research publicly available (whenever possible) through my GitHub page. You can also find the code related to my publications on the GitHub page of Graph Machine Learning Group.