Teaching Experience
Overall Summary of Teaching Evaluations
Instructor and Designer
Econ 4970/4523: Economics of Education (University of Oklahoma, Fall 2017, Spring 2018, Fall 2018, Fall 2019, Fall 2022)
Undergraduate course on causal inference and policy debates in the US education system
Econ 5970/5253: Data Science for Economists (University of Oklahoma, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023)
Master's course designed to build data science skills from the perspective of economics
- Course GitHub repository (Spring 2018,Spring 2019,Spring 2020,Spring 2021,Spring 2022,Spring 2023,Spring 2024)
- Student course evaluations (Spring 2018,Spring 2019,Spring 2020,Spring 2021,Spring 2022,Spring 2023,Spring 2024)
Econ 6343: Econometrics III (University of Oklahoma, Fall 2020, Fall 2021, Fall 2022, Fall 2024)
PhD course on advanced topics in applied micro econometrics (structural estimation, machine learning)
Econ 4223: Econometric Analysis (University of Oklahoma, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Spring 2021, Fall 2021, Spring 2022)
Undergraduate introductory econometrics course
Econ 5293: Machine Learning with Causal Inference (University of Oklahoma, Spring 2025)
Online Master's course
- Primary Textbook
- Student course evaluations coming soon
- Other course materials available upon request
Causal Inference with R (hosted on DataCamp with support from eBay, Inc.)
Introduction to Causal Inference using R. The course is free on DataCamp. I co-created the programming exercises with Brian Aronson, Jim Speckart and Alexandra Cooper. The course instructors are Matt Masten and Bentley Coffey.
Econ 360: Foundations of Matlab (Duke University, Summer 2012)
This course is geared towards rising second-year PhD students in order to equip them with the quantitative skills required for courses and research beyond the first year of graduate school.
Introduction to the Julia programming language (Duke, Spring 2016, 2017)
This 1-day workshop focused on introducing Julia as an alternative to existing programming languages. Participants engaged in hands-on examples and were instructed about best practices in Julia.
Teaching Assistant
Conducting Research Using the SIPP (3-day Workshop held at Duke, Spring 2014)
Econ 110: Principles of Economics (Brigham Young University, Winter 2008)
- Professor Larry T. Wimmer
- Voted Outstanding Econ 110 TA (out of 10 others)
Other Experience
SSRI Education and Human Development Scholars Mentor (Duke, Spring 2016 - Spring 2017)
- Mentor interdisciplinary group of middle-stage PhD students working on education and human development research
- Students
Duke Data+ Project Mentor (Summer 2016)
- Mentored two students on analyzing North Carolina state budget data
- Project details here.
Faculty Training