I am a machine learning researcher at Twitter in London. In particular, our team works on fundamental and applied research around the topic of graph neural networks (GNNs). My current research focus is on making GNNs scale to very large (Twitter-scale) graphs, as well as making them adapt to graphs which change over time (dynamic graphs). Previously, I was working at Fabula AI, which was then aquired by Twitter in June 2019.
In June 2019, I graduated with a distinction from an MPhil in Advanced Computer Science at Cambridge University. My thesis was on graph deep learning models on RNA data, under the supervision of Prof. Pietro Liò and Prof. Michael Bronstein.
In June 2018, I graduated with a BEng in Computer Science from Imperial College London. During my time there, I interned in 2017 at G-Research and in 2018 at Google as a software engineer. During summer 2018, after my graduation, I worked with Prof. Michael Bronstein on fake news detection using graph convolutional networks.
I am also the co-founder of LeadTheFuture, a non-profit organization with the goal of helping talented Italian students in STEM to achieve their potential. Today LeadTheFuture counts more than 250 mentors and mentees.
|Mar 1, 2020||Forbes Italy published an article about LeadTheFuture, the mentoring non-profit which I co-founded. Soon after, my cofounders and I were also included in the 100 under 30 by Forbes Italy on the most talented young leaders in the country.|
|Jul 20, 2019||Graduated with distinction from an MPhil in Advanced Computer Science at Cambridge.|
|Jun 1, 2019||Fabula AI is acquired by Twitter. We join the machine learning team in London (including Magic Pony) to work on fundamental and applied research around graph neural networks.|
|Apr 29, 2019||Moved to UCLA as a visiting researcher during IPAM long program on learning from geometric data.|
|Mar 11, 2019||Started working part-time as a data scientist for Fabula AI, a start-up using geometric deep learning to solve fake news detection.|