Leonardo Milano is a Data Science Team Lead at the UN OCHA Centre for Humanitarian Data with nine years of experience applying predictive analytics and research to humanitarian response. He builds and evaluates data science tools that inform decision-making in crisis contexts, drawing on prior senior data science work at the Norwegian Refugee Council’s IDMC where he focused on displacement linked to conflict and disasters. Trained as a physicist with a PhD from the University of Turin and research stints at CERN and Lawrence Berkeley Lab, he brings strong quantitative rigor and experience in large-scale scientific collaboration to operational humanitarian problems. Known for bridging academic research and practical deployment, he prioritizes validation, reproducibility, and stakeholder-focused solutions in high-stakes settings. Based in Geneva, he combines deep methodological expertise with on-the-ground understanding of humanitarian data needs, often translating complex models into actionable insights for aid actors.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Physics Mathemathics Statistics, Best Italian Ph.D. thesis on nuclear physics - 2013, Doctor of Philosophy (PhD), Physics Mathemathics Statistics, Best Italian Ph.D. thesis on nuclear physics - 2013 at Università degli Studi di Torino
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