Andrea Cini

About

Hi! I’m a SNSF postdoc fellow and visiting researcher at the University of Oxford, working in the lab led by Prof. Michael Bronstein. My research focuses on machine learning methods for time series forecasting and graph processing and is funded by the Swiss National Science Foundation.

I am also affiliated with IDSIA, at USI, and the Northernmost Graph Machine Learning, at the UiT the Arctic University of Norway.

You can have a look at my CV and find an updated list of my publications on Google Scholar.

Short bio

I obtained my PhD from USI under the supervision of Prof. Cesare Alippi, with a thesis on graph deep learning methods for time series forecasting. I have been a visiting researcher at Imperial College London with Prof. Danilo Mandic and previously got my MSc and BSc in Computer Science and Engineering at Politecnico di Milano.

My research has been published in top-tier machine learning venues, including JMLR, NeurIPS, ICML, and ICLR, where I also frequently serve as a reviewer. My work on graph-based forecasting has introduced several methods that have had an impact in both research and industrial applications. I am one of the creators of Torch Spatiotemporal.