Teaching

Undergraduate advanced level course. Features of digital markets, including network effects, two-sided markets, search and matching, reputation systems, and the use of data; and zoom in on individual markets, such as search engines, e-commerce platforms, and the gig economy. Understanding how digital markets should be designed and regulated.

Undergraduate intermediate level course. Facts and theories about the determination of per capita income and its differences across countries and across time. The study of economic fluctuations. The role of government in influencing these aggregate variables: monetary and fiscal policy.

First-year PhD course. Dynamic programming, search theory, neoclassical growth theory, asset pricing, business cycles.

Undergraduate level summer initiative for students in the humanities, social sciences and natural sciences. Basics of programming in Python, probability and statistics, analysis of datasets, data visualization, introduction to machine learning and neural networks.

Graduate level summer initiative for students in the humanities, social sciences and natural sciences. Programming in Python, reading and visualizing data, text data and scraping, inference, machine learning, neural networks and deep learning in Python.