Hi. I’m a development economist who uses machine learning in addition to the usual econometric methods. I’m an assistant professor of economics and management science at Chapman University Argyros School of Business in Orange County, CA. Previously I was a visiting lecturer in the political science department at MIT, and in the economics department at Wellesley College.
I received my PhD in economics at Boston University under Marianne Baxter, Samuel Bazzi, and Ray Fisman. I’ve also worked as a consultant to the Poverty Global Practice at the World Bank and still on occasion lead statistical and data science training for World Bank employees and departments of statistics employees to improve statistical capacity.
I’m always happy to talk with Chapman University students and faculty, particularly those interested in development and/or data science.
My research interests include measuring economic well-being via remote sensing, targeting poverty using machine learning, machine vision applied to high resolution imagery, forecasting changes in economic well-being, among others.
Recent and Upcoming Conference and Presentation Schedule
July 13, 2017: UN Development Program, Human Development Report Office, New York
July 11-12, 2017: World Bank, POV Summer University, Washington DC
May 31, 2017: Princeton University, Empirical Studies of Conflict, Princeton, NJ
May 15-16, 2017: Prediction for Prevention of Armed Conflict, Barcelona, Spain
January 6-8, 2017: ASSA Annual Meeting, Chicago IL
December 9-11, 2016: Computational and Financial Econometrics, Seville, Spain
July 4-8, 2016: SIdE 2016 Big Data Econometrics and Machine Learning, Perugia, Italy
June 20-21, 2016: Annual Bank Conference on Development Economics, World Bank, Washington DC
March 20-22, 2016: CSAE: Economic Development in Africa, Oxford University
February 25-28, 2016: Eastern Economic Association, Washington DC