Antonio Longa
Postdoctoral Researcher at UiT Norges arktiske universitet
Livigno, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolAntonio Longa is a machine learning researcher and postdoctoral researcher with nine years of experience specializing in Graph Neural Networks, temporal and relational deep learning, and explainability. He combines academic rigor—PhD cum laude in AI & Complex Systems—with applied expertise in cloud-based, production-ready ML, consulting on geometric deep learning for industry clients. Antonio has collaborated with top institutions (Cambridge, Aix-Marseille, Copenhagen) and contributed open-source extensions to PyTorch Geometric, notably implementing advanced neighborhood aggregation methods (PNA, LAF). Comfortable both teaching and mentoring, he bridges theory and practice through coursework and hands-on internships, and his work frequently targets dynamic social interaction data. Based in Livigno, Italy, he is passionate about scalable, interpretable graph models that translate cutting-edge research into real-world systems.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine learning and Computational Social Science, Doctor of Philosophy - PhD, Machine learning and Computational Social Science at Università di TrentoMaster of Computer Applications - MCA, Scienze informatiche, Master of Computer Applications - MCA, Scienze informatiche at Aalto UniversityLaurea triennale in Scienze e Tecnologie Informatiche, Informatica, Laurea triennale in Scienze e Tecnologie Informatiche, Informatica at Università degli Studi di Milano-BicoccaVisiting student, Intelligenza artificiale, Visiting student, Intelligenza artificiale at University of Exeter
Italian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
pytorch10
machine-learning10
pytorch-geometric10
graph-neural-network10
python10
Programming languages (3)
Github contributions (5)
AntonioLonga/PytorchGeometricTutorial
Feb 2021 - May 2022
Pytorch Geometric Tutorials
Role in this project:
Data Scientist / ML Engineer
Data Scientist / ML EngineerContributions:29 commits, 2 PRs, 25 pushes in 1 year 3 months
Contributions summary:Antonio contributed to the implementation of PyTorch Geometric tutorials. Their primary contribution appears to be the development of aggregation methods for Graph Neural Networks. This work involved the creation of custom convolutional classes extending the GINConv module, incorporating Principal Neighborhood Aggregation (PNA) and Learning Aggregation Functions (LAF). This demonstrates a focus on extending the functionality of PyTorch Geometric for graph-based machine learning tasks.
pytorchgnnpytorch-geometricgeometricgraph-embedding
AntonioLonga/AntonioLonga.github.io
May 2020 - Oct 2024
Personal web site
Contributions:34 PRs, 224 pushes, 1 branch in 4 years 6 months
reactweb-personalweb-sitepersonal-web-site
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