Teaching

My approach to teaching involves two main ideas: that knowledge makes life interesting, and that statistical concepts are best made accessible through other fields that people understand and enjoy. I apply these ideas in every class that I teach, using engaging examples to get the students to learn data sense and to understand the ‘why’ of statistics in addition to the ‘what’ and ‘how.’ 

Consulting Class Poster JSM 2017.pdf

One class I developed is ST542: Statistical Practice. It is a capstone course teaching soft skills through projects to our masters level students. At the 2017 Joint Statistical Meetings, I presented an invited poster on teaching this class because it is a large, project-based consulting class.

In 2019, I began teaching an undergraduate practicum with Dr. Stephany Dunstan. This is another capstone course where students get a rich research experience in a classroom setting.

In 2021, Luo Xiao, Jon Stallrich, and I were awarded an internal DELTA grant with to develop supplemental online materials for the first semester of our department's core PhD-level statistical theory course.

Training videos: In 2020, Julia Sharp, Megan Higgs, and I completed a series of videos with notes and discussion questions to help train collaborative statisticians. Our paper was published in the Journal of Statistics and Data Science Education, and the videos are all available online. This project was funded by a grant from the American Statistical Association.

Courses I teach include: