PhD Candidate | Applied Economist

Raphaelle Aulagnon

I'm a PhD candidate in Economics at Bocconi University, specializing in designing and evaluating technology-driven interventions in education and labor markets.

My work combines causal inference, experimental methods, discrete-choice models, and machine learning. I use Python and R to analyze large-scale field experiments and administrative data.

💼 Current
Consulting with World Bank on AI and labor markets
Field research on educational technology with GRADE Peru and IDB
🔗 Affiliated
📚 Previously
Visiting Fellow, UChicago (John List Team) (2025)
Visiting Fellow, Harvard CID (2024)
Research Assistant, Philippe Aghion (2020)
Research Associate, Good Business Lab (2019)
Python R Machine Learning Causal Inference Field Experiments
Raphaelle Aulagnon

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