Samuel Paul Fraiberger is a Data Scientist with the World Bank’s Development Data Group. He publishes research and develops analytical tools to inform economic development policies using large and unstructured datasets, machine learning, and social science methods. His research has appeared in leading academic journals and conferences across disciplines (including Science, Science Advances, the Journal of International Economics, EMNLP, KDD, TEDx), as well as in the popular press (The Wall Street Journal, The Economist, The Washington Post). Samuel is also a visiting researcher at the NYU Center for Data Science, a fellow at MIT Connection Science, and a senior research affiliate at Data-Pop Alliance.
