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 journals (MIS Quarterly, Proceedings of the National Academy of Sciences) 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 SSRN page
Link to Chapman faculty page
- 4.24.20 The journal Information Technology for Development has published my paper on open data for algorithms. I think we say something important about the dependency of machine learning systems for public applications.
- 8.14.19 My paper on The Effect of Piracy Website Blocking on Consumer Behavior (joint with Brett Danaher, Mike D Smith, and Rahul Telang) has been accepted at MIS Quarterly. Hooray!
- 1.27.19 I’m late posting this, but my friend Jared Lander of Lander Analytics has posted videos from the NYC R Conference, including my own video summarizing some recent research.
- 1.26.19 New working paper posted: “Car Accidents and 3G Coverage: New Evidence Using Cell Phone Tower Construction” (with Matt Lang and Bree Lang).
- 11.8.18 New draft posted of the article “Effect of Website Blocking on Consumer Behavior” (with Brett Danaher, Michael D. Smith and Rahul Telang)
- 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
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