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Andreas obtained his PhD from City University of Hong Kong in 2014 analysing network structures of international trade and cross-border investment flows. His current research is dedicated to applying techniques from machine learning and artificial intelligence to the analysis of large granular datasets with the goal to integrate those into frameworks for economic modelling and policy analysis. You can visit his page on Google Scholar.