I am a Senior Deep Learning Researcher at MediaTek Research in London (UK) with a broad interest in Deep Learning, and a current focus on foundation models for multimodal time-series, optimization, and representation learning for structured data. I hold a PhD in the areas of Deep Learning and Artificial Intelligence with a focus on Graph Representation Learning and Graph Neural Networks.
During my PhD I have been a Research Scientist Intern at Meta AI under the supervision of Dr. Vassilis Plachouras, and at Samsung AI Research under the supervision of Dr. Efthymia Tsamoura.
I've also been a visiting researcher in Professor Pietro Liò's group at the University of Cambridge, a visiting research in Dr. Bastian Rieck's group at Helmholtz Munich. Before starting my PhD I gained some industry experience with a six months internship developing Deep Learning algorithms for digital pathology, and spending 2 months as a Machine Learning consultant.
Senior Deep Learning Researcher
MediaTek Research · London, United Kingdom
May 2023 - Present
Research Scientist Intern
Meta AI · London, United Kingdom
Supervisor: Dr. Vassilis Plachouras
September 2022 - December 2022
Visiting Researcher
Helmholtz Munich · Munich, Germany
Supervisor: Dr. Bastian Rieck.
August 2022
Visiting Researcher
University of Cambridge · Cambridge, United Kingdom
Supervisor: Professor Pietro Liò.
April 2022 - July 2022
Research Intern
Samsung AI Research · Cambridge, United Kingdom
Supervisors: Dr. Efthymia Tsamoura.
January 2021 - July 2021
Research Fellow
University of Padova · Padova, Italy
Supervisor: Professor Fabio Vandin
Aril 2019 - September 2019
Data Scientist, Machine Learning Engineer
Machine Learning Reply · Milan, Italy
January 2019 - February 2019
Data Science, Deep Learning Algorithm Development Intern
Philips Digital & Computational Pathology · Belfast, United Kingdom
July 2018 - December 2018
Ph.D. in Information Engineering
University of Padova
Focus on Graph Neural Networks and Graph Representation Learning.
Thesis: "Improving the Effectiveness of Graph Neural Networks in Practical Scenarios" [Full Text]
Supervisor: Prof. Fabio Vandin
October 2019 - March 2023
Master's Degree in Computer Engineering · 110/110 with honors
University of Padova
Thesis: "A Deep Learning Model for Personalised Human Activity Recognition." [Full Text]
Advisor: Prof. Fabio Vandin
September 2016 - February 2019
Bachelor's Degree in Information Engineering
University of Padova
Thesis: "Algorithms for the determination of node centralities in a graph."
Advisor: Prof. Pietracaprina Andrea Alberto
September 2013 - June 2016
You can find a list of all my publications, together with associated material and links,