Postdoctoral Researcher

Riccardo Di Francesco

University of Southern Denmark

I build new econometric tools that bring machine learning and causal inference together—then put them to work on questions about mental health and LGBTQ+ economics that traditional methods struggle to answer.

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Portrait of Riccardo Di Francesco
3
Publications
4
R packages
20
Talks
1
Award

Research interests

Causal inference Machine learning Text analysis Mental health LGBTQ+ economics

Recent news

Jan 2026 Aggregation trees published in Econometric Reviews.
Nov 2025 Ordered correlation forest featured in Il Messaggero · Awarded Emerging Econometrician award.
Oct 2025 Causal inference for qualitative outcomes published in Economics Letters.
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