Awarded by the École Doctorale STIC (EDSTIC) of Université Côte d’Azur and Paris Sciences et Lettres for my PhD thesis on "Computational Methods and Analysis of Temporal Networks: Applications in Neuroscience". This award recognizes outstanding doctoral research in the field of Computer Science and interdisciplinary contributions to the scientific community.
I am invited to participate in the Dagstuhl Seminar on "Temporal Graphs: Structure, Algorithms, Applications" held at Schloss Dagstuhl, Germany. This seminar gathers leading researchers in the field of temporal graphs to discuss recent advances and future directions.
I review for the following journals:
Network Neuroscience Journal (MIT Press), ISSN: 2472-1751.
Computer Communications (Elsevier), ISSN: 0140-3664.
Journal of Open Source Software (NumFCOUS), ISSN: 2475-9066. Reviews are publicly available, see here my reviews.
The Journal of Physical Chemistry (American Chemical Society), ISSN: 1520-5215.
I review for the following conferences:
PC member for the International Conference on Complex Networks and their Applications.
JuliaCon 2024, 2025, 2026, the annual conference of the Julia programming language community.
I visited the Centre Inria d’Université Côte d’Azur for two weeks. I was hosted by Coati team and, together with Frédéric Giroire, Nicolas Nisse and Sayf Halmi, we worked on the analysis of the impact of interdisciplinary research on PhD students’ careers, in collaboration with Michele Pezzoni from Gredeg at Université Côte d’Azur.
I was invited for a week to visit the group of Frederick Malmann-Trenn at King’s College London. We advanced the collaboration with Japanese researchers on the improvement of a graph neural network architecture for centrality measures approximation.
I visited the Department of Psychological Science at Birkbeck University London for three weeks. I was hosted by Silvia Seghezzi and we focused on analyzing brain processing of problem-solving tasks via EEG.
Funded a two-month research stay at the Institute of Science Tokyo. I visited the group of Tsuyoshi Murata and we worked on the development of a new graph neural network architecture for betweenneess centrality approximation.
I visited the Gran Sasso Science Institute for one week. I was hosted by Pierluigi Crescenzi and we worked on the development of a software package supporting the construction and simulation of Integrated Assessment Models (IAMs).
Funded a six-month Master’s research internship at Université Côte d’Azur, France. I was supervised by Samuel Deslauriers-Gauthier and Emanuele Natale. I explored the use of hyperbolic random graph model as null model for the analysis of brain networks. This work led to the publication of a paper in the Network Neuroscience journal.
May 2024 - November 2024
Summer of Code program with the Julia programming language organization funded by NumFOCUS.
Project: "Implementing layers for temporal graphs in GraphNeuralNetworks.jl"
Mentor: Carlo Lucibello
May 2023 - August 2023
Google Summer of Code program with the Julia programming language organization.
Project: "Extending GraphNeuralNetworks.jl to support Temporal Graphs"
Mentor: Carlo Lucibello
Link to the interview: here
February 2022 - September 2022
Working on temporal brain networks in COATI and ATHENA teams at Inria centre at Université Côte d’Azur
Supervisors: Emanuele Natale, Samuel Deslauriers-Gauthier
Awarded by the French National Council of Universities (CNU) in Computer Science, section 27. This qualification is a prerequisite for applying to permanent academic positions in France as an Associate Professor (Maître de Conférences). The qualification is valid for a period of four years.
Team: COATI
Supervisor: David Coudert
DS4H Université Côte d’Azur, France
Applied mathematics curriculum
Thesis: "The Hyperbolic Model and the Temporal Small Worldness of Brain Dynamics"
Advisors : Emanuele Natale, Samuel Deslauriers-Gauthier, Paolo Dai Pra
University of Verona, Italy
Erasmus, Université Côte d’Azur, France
Computational algebra course, University of Trento, Italy
Thesis: "Metodi CFTP applicati a ERGM e confronto con MCMC"
Advisor : Paolo Dai Pra
University of Verona, Italy