Hi. I’m an economist who uses machine learning and econometric methods to answer questions the social sciences. 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.
My research interests include development economics, applied machine learning, applied artificial intelligence, international economics, economics of digitization, and the impact of information technology on society and firms.
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.
At Chapman I teach courses in machine learning, statistics, and business analytics with an emphasis on applications for businesses. I am interested in pedagogical methods for delivering the best possible training in these methods. I’m always happy to talk with Chapman University students and faculty, particularly those interested in development and/or data science. If you’ve got a thorny data problem I’m probably someone you want to talk to.
Link to Chapman faculty page
- 8.14.18 New draft posted of article forthcoming in IZA World of Labor “Big Data in Economics“
- 4.18.18 CEGA/World Bank have posted a video of my presentation from AI for Economic Development.
- 1.3.18 Just in time for ASSAs, I’ve posted some very subjective but hopefully helpful job market advice for the young PhD economist on the market.
- 12.20.17 A new draft of my “Poverty from Space” paper is available as a World Bank Policy Research Working Paper.
Recent and Upcoming Conference and Presentation Schedule
June 17-20, 2018: INFORMS International, Taipei
June 18-19, 2018: Statistical Challenges in Electronic Commerce Research, Rotterdam, Netherlands
May 11, 2018: ESOC Annual, Washington DC
April 19, 2018: New York R Conference, New York
March 10, 2018: PacDev, Davis, CA
March 1, 2018: Artificial Intelligence for Development, CEGA/World Bank DIME, Berkeley, CA
January 11-12, 2018: 11th Digital Economies Conference, TSE, Toulouse, France
January 4-7, 2018: ASSA, Philadelphia, PA
December 18, 2017: Advances in Prediction for Prevention, Barcelona, Spain
December 8, 2017: NIPS, Machine Learning for the Developing World, Long Beach, CA
November 6, 2017: University of California at Riverside, Riverside, CA
October 30, 2017: Penn State Economics, Trade and Development Seminar, State College, PA
September 26, 2017: University of Southern California Economics, Los Angeles, CA
September 6-7, 2017: CEGA Geo4Dev, Berkeley, CA