The research dimension of this website reflects an applied trajectory where mathematics, optimisation, economics and machine learning intersect in a practical way.

Main focus

The themes I have been working on include:

• statistical learning and optimisation;
• AI/ML for financial supervision and regulation;
• NLP, LLMs and RAG;
• macroeconometrics, risk and decision under uncertainty.

Publications and conferences

Beyond the highlighted peer-reviewed publication, this page presents conference contributions and leaves room for future expansion with working papers, presentations and additional scientific profiles.

Collaboration

I am interested in collaboration on:

• applied research in macroeconometrics and data;
• pedagogical tools for statistical and analytical teaching;
• AI/ML solutions with real operational value;
• bridges between academia, supervision and institutional practice.