Michele Zampa
Welcome to my website. My name is Michele. I am an applied economist with a background in causal inference, machine learning, geospatial analysis, and computational methods. I am currenty a Visiting Fellow in the Department of Geography and Environment at LSE, funded by an SNSF Postdoc.Mobility grant. A central part of my work involves building automated data pipelines that transform unstructured historical and administrative sources into scalable research datasets, which I analyze using econometric, machine learning, and natural language processing methods. My current research explores how public policy and infrastructure shape economic development, how political narratives influence institutional change, and how emerging technologies are transforming the production of empirical knowledge.