Hi! I’m a PhD student at the Graph Machine Learning Group, within the Swiss AI lab IDSIA, at USI, under the supervision of Prof. Cesare Alippi. Previously, I worked as an R&D machine learning engineer at Argotec, developing reinforcement learning methods for the control of autonomous nanosatellites. I got my MSc and BSc in Computer Science and Engineering at Politecnico di Milano where I did my thesis supervised by Prof. Marcello Restelli. You can have a look at my CV.
Currently, my research focuses on processing spatiotemporal data by exploiting graph representations and graph neural networks. Applications are in reinforcement learning and time series analysis, with a focus on multivariate time series forecasting. I am also broadly interested in the use of machine learning methods to accelerate both scientific discovery and engineering. You can find an updated list of my publications here.
|Dec 3, 2022||Our paper on scalable STGNNs won the best paper award at the TGL workshop at NeurIPS!|
|Nov 18, 2022||Our paper has been accepted at AAAI23!|
|Sep 30, 2022||Our new paper has been accepted at NeurIPS 2022, see you in New Orleans!|
|Jan 20, 2022||Our paper got accepted at ICLR 2022!|
|Oct 12, 2021||One paper accepted for publication in JMLR!|