Pooya Molavi is an Assistant Professor of Managerial Economics & Decision Sciences at Kellogg, with a secondary appointment as an Assistant Professor of Economics. He was previously a Saieh Family Fellow in Economics at the Becker Friedman Institute of the University of Chicago. He conducts research in macroeconomics, economic theory, and behavioral economics. He received a PhD in Economics from MIT in 2019 and a PhD in Electrical and Systems Engineering from the University of Pennsylvania in 2013.

Dynamic Optimization in Economics (MECS-560-2)
The goal of this course is to introduce students to dynamic optimization techniques for both discrete and continuous time stochastic problems. In particular, the course will present results in discrete time dynamic programming and consider their applications in a range of topics. Specific examples include search models, bandit problems, and dynamic games.

Microeconomic Analysis (MECN-430-0)
1Ys: This course is either waived during the admissions process or completed during the Summer term. Among the topics this core course addresses are economic analysis and optimal decisions, consumer choice and the demand for products, production functions and cost curves, market structures and strategic interactions, and pricing and non-price concepts. Cases and problems are used to understand economic tools and their potential for solving real-world problems.