Overall Summary of Teaching Evaluations
Instructor and Designer
Econ 4970: Economics of Education (University of Oklahoma, Fall 2017, Spring 2018, Fall 2018)
Undergraduate course on causal inference and policy debates in the US education system
Econ 5970: Data Science for Economists (University of Oklahoma, Spring 2018)
Master's course designed to build data science skills from the perspective of economics
Econ 4223: Econometric Analysis (University of Oklahoma, Fall 2018)
Undergraduate introductory econometrics course
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.
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)
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
Duke Data+ Project Mentor (Summer 2016)
- Mentored two students on analyzing North Carolina state budget data
- Project details here.