About

Hi. I’m an assistant professor of economics and management science at Chapman University Argyros School of Business in Orange County, CA. Previously I lectured at MIT and Wellesley College.

My research interests include the economics of information systems, online media piracy and digitization strategy, decision support systems for data-driven decision making, IT strategy, and the impact of IT on society and firms. I use both predictive methods (applied machine learning and artificial intelligence, in particularly computer vision models) and causal inference methods to answer these questions. My research has appeared in leading business journals (MIS Quarterly) and computer science conferences (Conference on Neural Information Processing Systems).

I received my PhD in economics at Boston University. I’ve worked with firms and international organizations such as World Bank, the Inter-American Development Bank, the International Monetary Fund on how to use machine learning to improve management processes. I still on occasion lecture on data science for firms and organizations.

At Chapman I teach courses in machine learning, statistics, and business analytics. 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.

Link to Google Scholar page
Link to SSRN page
Link to Chapman faculty page


News


Recent and Upcoming Conference and Presentation Schedule
January 3-5, 2020: American Economic Association
December 18-20, 2019: Workshop on Information Systems and Economics, Munich, Germany
December 18-17, 2018: Workshop on Information Systems and Economics, San Francisco, CA
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