Minchul Shin
Economic Advisor and Machine Learning Economist
Areas of Expertise
Minchul is an econometrician/data scientist with both theoretical and empirical interests. At the Bank, he has been developing new econometric, statistical, and machine learning tools that can be used in economic forecasting, macroeconomics, and urban economics. In addition, he helps develop and implement machine learning methods and applications for other areas of the Bank that are working on projects with big data and text data.
Minchul is an associate editor of the International Journal of Forecasting and has published scholarly articles in economic and statistic journals, including the Journal of Econometrics, the Journal of the American Statistical Association, the Review of Economics and Statistics.
Prior to joining the Bank, Minchul was an assistant professor of economics at the University of Illinois. He has a Ph.D. in economics from the University of Pennsylvania and master’s and bachelor’s degrees in economics from Sungkyunkwan University, Korea.