Curriculum Vitae


Jump to section: Work Experience | Education | Awards & Grants | Publications | Patents | Talks, Tutorials, and Presentations

Work Experience

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

Education

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

Awards & Grants

  • Helmholtz Visiting Researcher Grant - 08/2022
    Grant awarded by the Helmholtz Information and Data Science Academy (HIDA), as part of the Helmholtz Association, to support a research stay at a Helmholtz centre.
  • Fondazione Luciano Iglesias Scholarship - 07/08/2020
    Monetary award given to the 10 best M.Sc. graduates in Computer Engineering at the University of Padova in 2019.
  • Full PhD Scholarship from the Department of Information Engineering (University of Padova) - 2019-2022
  • ERASMUS+ Traineeship Grant - July 2018-December 2018

Publications

You can find a list of all my publications, together with associated material and links, here. You can also checkout my google scholar page here.

Patents

  • Method and System for Scene Graph Generation
    Inventors: Efthymia Tsamoura, Davide Buffelli
    Patent active in the UK (Patent Number: GB2607135B) and in the US (Patent Number: US-20220391704-A1), filed in 2022.
    [Link]

Talks, Tutorials, and Presentations

  • Tutorial - "Foundation Models for Communication Systems"
    Presented at the IEEE Global Communications Conference (GLOBECOM) 2025 conference.
    12/12/2025 - [Material] [Conference Link]
  • Invited Talk - "Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures"
    Presented at the NeurIPS @ Cambridge Meetup (University of Cambridge).
    06/12/2024 - [Link]
  • Invited Talk - "The Problem of Size-Generalization in Graph Neural Networks"
    Presented at the Artificial Intelligence Research Group Talks (Computer Laboratory) (University of Cambridge).
    04/07/2022 - [Link] [Video]
  • Invited Talk - "Word Embeddings & Graph Neural Networks for Automatic Reasoning over Knowledge Graphs"
    Presented at the Word Embedding Reading Group (University of Padova).
    25/05/2020 - [Slides] [Video]
  • Poster (Refereed Workshop) - "Are Graph Convolutional Networks Fully Exploiting Graph Structure?"
    Presented at the ELLIS Workshop on Geometric and Relational Deep Learning.
    24/02/2020 - [Slides] [Poster Video]