Policy Punchline

Greg Lewis: A Bayesian's Approach to Machine Learning in Economics

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Synopsis

Greg Lewis is an economist and the Senior Principal Researcher at Microsoft and co-leads the ALICE (Automated Learning and Intelligence for Causation and Economics) and EconML projects, an effort to develop use AI and machine learning for economics research. He specializes in industrial organization, market design, applied econometrics and machine learning. His work is unified by the twin goals of making better sense of microeconomic data, and using those insights to optimize firm decision making and improve market performance. His research has spanned a range of industries – online retailing, online advertising, procurement, electricity, education. Before joining Microsoft, Prof. Lewis was a professor at Harvard for seven years. He has a Ph.D. from the University of Michigan. In this interview, Harsh and Tiger ask with Prof. Lewis about his research on consumer’s shopping trends online, how tech platforms rank search results and products, how to do causal inference using neural nets, how machine learning