As part of my postdoc appointment, I co-taught "Statistical Methods in Ecology and Evolution: Part II", the second-semester in a two-semester sequence of a graduate level course focused on the fundamental elements of data analysis in the fields of ecology and evolution. In this course, students learn how to interpret and model biological data with modern methods for estimation and inference using the R computing language.

During my Ph.D., I had the opportunity to be a Graduate Student Instructor (GSI) for the course EAS 538 or the Natural Resource Statistics for four semesters (Fall 2020, Winter 2021, Fall 2021, and Winter 2022). My main role relied on teaching students how to run statistical tests in R to facilitate their understanding of statistical concepts and to apply statistical tests critically. Every semester, I lead two 2h-long sections summing to 44 students with mixed skill levels on programing and statistics background. I have taught both remotely and in person. Teaching has been an enormously rewarding experience.