Dieter Wang is a financial econometrician/data scientist with a PhD from the VU Amsterdam and Tinbergen Institute. He has extensive experience on tackling real world policy problems, by applying econometrics and machine learning to various datasets, ranging from financial Bloomberg data to geospatial satellite data. He’s passionate about getting key insights across with visualizations that tell a story. During his time, he has worked with international organizations, central banks, global tech companies, major reinsurances, investment banks and a space agency. He held visiting positions at Columbia Business School and the Dutch Central Bank.