Samuel Paul Fraiberger is a data scientist within the World Bank’s Development Impact (DIME) department, where he focuses on using machine learning to scale development impact. His research has appeared in leading academic journals (Science, Science Advances, The Proceedings of the National Academy of Sciences, The Journal of International Economics) and conferences (ACL, EMNLP, KDD, ICWSM, TEDx) across disciplines, as well as in the popular press (The Wall Street Journal, The Economist, The Washington Post, Axios). He 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. More information is available on his website: http://www.samuelfraiberger.com/
