Rigour before hype
Mathematical modelling, sound experimental design and careful evaluation underpin our work in AI, optimisation and scientific computing.
Scientific Machine Learning →M.O.D.A.L. · Our mission
Mathematics at the heart of intelligent systems
We connect mathematical modelling, data analysis and Artificial Intelligence to study complex phenomena, develop rigorous methods and translate research into measurable real-world value.
University of Naples Federico IIDepartment of Mathematics and Applications “R. Caccioppoli”
M.O.D.A.L.foundationsData-driven
intelligenceScientific
validationReal-world
impact
Why we exist
Research should be ambitious and accountable
Artificial Intelligence becomes more meaningful when strong mathematical foundations meet reliable data, transparent experimentation and the questions that matter beyond the laboratory.
M.O.D.A.L. brings together expertise in numerical analysis, machine learning, scientific computing and distributed systems. Our goal is not simply to apply existing algorithms, but to advance methods, test their limits and build knowledge that others can reproduce and extend.
See the scientific output →What guides us
Three commitments, one research culture
Intelligence we can trust
We study privacy, robustness, unlearning and decentralised learning, with attention to what models retain, forget and generalise.
Federated Learning →Science through collaboration
Research grows through partnerships, doctoral training and exchange with academic, industrial and public-sector communities.
Our collaborations →How we work
From a research question to a tested contribution
An iterative process that balances methodological novelty with evidence and usefulness.
Define
Formalise the problem, its assumptions and what success would actually mean.
Develop
Design mathematical and computational methods grounded in the state of the art.
Validate
Benchmark against relevant alternatives and study behaviour across realistic conditions.
Share
Publish findings, support reproducibility and pursue responsible knowledge transfer.
People make the research possible.People & community
A research group is more than its publications
Mentorship, doctoral research, open exchange and international scientific dialogue are essential parts of M.O.D.A.L. We value autonomy, collaboration and the freedom to pursue difficult questions.
Research with context