Instructor Positions

ECON 101: Principles of Microeconomics

For the Spring 2021 semester, I was an instructor for a section of ECON 101. This course covers the basic concepts and methods of microeconomics. Students will learn and employ the tools and frameworks provided by microeconomics to analyze a range of economic questions and policy issues. Specifically, we will consider whether and how markets may fail and the role that government may play in aiding to correct those failures. This course covers demand and supply in competitive markets, market power, game theory, and asymmetric information. My syllabus for this course is here.

Course evaluation score: 8.37 (out of 9)

QTM 100: Introduction to Statistical Inference

I am currently an instructor for the QTM 100 lab. The lab portion of this course specifically focused on implementing in R the statistical methods covered in the lecture. The curriculum provides an introduction to descriptive and inferential statistics. More information on the QTM 100 lab can be found here. I previously taught this course virtually in Fall 2020. This semester this course is held in person.

Fall 2020 course evaluation score: 8.12 (out of 9)

Assistantship Positions

As a graduate student, I have had the opportunity to assist with many courses across both the Economics and Quantitative Theory and Methods (QTM) departments. These courses include:

• ECON 101: Principles of Microeconomics

• QTM 150: Introduction to Statistical Computing I

• QTM 151: Introduction to Statistical Computing II

• QTM 210: Probability and Statistics