Teaching

Fall 2021 

  • Introduction to Scientific Methods – QTM 110: The course is designed to introduce students to the style of analytic thinking required for research and the concepts and procedures used in the conduct of empirical research. In short, this course teaches a set of skills that are essential for both understanding the research you will encounter in substantive classes, and being able to produce high-quality original research of your own. Beyond simply learning how to be a more critical participant in the academic research community, you will also be better-prepared for career opportunities using statistical tools and the products thereof. Whatever the individual career goal, students will learn the principles of critical thinking essential for drawing well-reasoned inferences from data.
  • Game Theory – QTM 315: How do oligopolists set prices? How do electoral campaigns set their platforms? Why do countries go to war? Game Theory can help us answer these questions. Game Theory is the study of strategic interactions between multiple agents. In this course, we introduce the foundations of game theory. These include normal and strategic form games, dominated strategies, and Nash equilibrium. We will also study various extensions including backwards induction and sub-game perfection. We will then apply these concepts to settings in Economics, Political Science, International Relations, Management, and others.

Spring 2021 

  • Introduction to Scientific Methods – QTM 110: The course is designed to introduce students to the style of analytic thinking required for research and the concepts and procedures used in the conduct of empirical research. In short, this course teaches a set of skills that are essential for both understanding the research you will encounter in substantive classes, and being able to produce high-quality original research of your own. Beyond simply learning how to be a more critical participant in the academic research community, you will also be better-prepared for career opportunities using statistical tools and the products thereof. Whatever the individual career goal, students will learn the principles of critical thinking essential for drawing well-reasoned inferences from data.
  • Introduction to Statistical Computing II – QTM 151: This course provides a practicum of skills for data science and an introduction to how to do data science with R.  The material is selected to enable you to get data into the most useful structure, transform it, visualize it, and model it. 

Fall 2020 

  • Decisions and Organizations – QTM 385 8: This course will cover incentives and information in organizations and individual decision making. We start by exploring incentives and choices for an individual decision maker. We then move to examining incentives provision and information flows within organizations and how they work differently for different organizational types such as firms, bureaucracies, and non-profits. We will also consider topics such as organizational culture, cooperation, and leadership. Finally, we turn to recent work in behavioral economics and psychology and their implication for earlier topics. Throughout, we will discuss applications to areas including education, health, crime, national security, and political economy. We will also cover the necessary game theory for all models used in this course. No prior experience with game theory is necessary, but we will make use of  calculus and basic probability.

Previous Teaching

  • Designing American Democracy –  (Undergraduate level, Spring, 2018, University of Rochester) Syllabus
  • Teaching Assistant for Advanced Microeconomics for Policy Analysis – (PhD level, 2012 – 2014, University of Chicago)
  • Teaching Assistant for Decisions and Organizations (Masters level, 2014 – 2015, University of Chicago)
  • Teaching Assistant for Politics and Policy (Undergraduate level, 2013, University of Chicago)
  • Teaching Assistant for Political Economy of Cities (Masters level, 2012, University of Chicago)