Instructor for Econ 106, Statistical Foundations for Econometrics

Basic statistical concepts used in economics. Topics include probability distributions, expectations, estimation, hypothesis testing, correlation, and simple regression.

Instructor for ECON 104, Introductory Macroeconomic Analysis and Policy

The course aims to teach students how to analyze important macroeconomic issues using economic tools and methods, applying them to current policy concerns. Topics include national income determination, unemployment, inflation, and economic growth in a global context, emphasizing the impact of monetary and fiscal policies on the economy. This approach is often referred to as "thinking like an economist."

The Foundations of Artificial Intelligence Research Lab (FAIR)

The Foundations of Artificial Intelligence Research Lab (FAIR) conducts foundational research at the intersection of artificial intelligence, economics, and computation. Our goal is to design novel principled solutions for robust and fair decision-making in the presence of multiple intelligent entities (e.g., humans, robots, or autonomous agents). These AI solutions have profound impact on several real-world applications ranging from healthcare resource allocation and refugee placement to recommendation systems and gig economies.