Published several papers, such as 'Heterogeneous RBCs via deep multi-agent reinforcement learning' and 'Robust Causal Discovery in Real-World Time Series with Power-Laws'.
Research Experience
Works in the Applied Research Team of the Directorate General for IT at the Bank of Italy, involved in multiple projects.
Background
Interested in the development of AI methods (typically ML-based) for applications in economics and finance, sometimes borrowing tools and concepts from physics. He is a research scientist in the Applied Research Team within the Directorate General for IT of the Bank of Italy.