Teaching

Tutorial Group Leader Designed and taught Winter 2025 block-seminar that advanced students’ knowledge of computational methods in communication science through the R programming language. Covered data wrangling (TidyVerse, BaseR), web scraping, API querying, data donations, text analysis (StringR, TidyText), supervised machine learning, topic modelling, and local LLM deployment. Average teaching evaluation score: 5.19/6.

Tutorial Group Leader Led two weekly tutorial groups (±50 students total) that advanced students’ understanding of political communication and journalism. Average teaching evaluation score: 4.41/5.

Tutorial Group Leader Led Fall 2024 tutorial group (~25 students) focused on applying advanced statistical models in the social sciences. Average teaching evaluation score: 4.4/5.

Tutorial Group Leader Led two weekly tutorial groups (±50 students total) that advanced students’ understanding of political communication and journalism. Average teaching evaluation score: 4.41/5.

Lecturer/Course Designer Designed and taught Spring 2023 methods course focused on automated content analysis using R. Average teaching evaluation score: 5.39/6.

Instructor/Course Designer This course takes a hybrid approach to methodology and theory: it combines the teaching of R software with an introduction to text-as-data analyses, while simultaneously addressing major conversations about the study and role of news in our digital world.Average teaching evaluation score: 5.21/6.

Instructor/Course Designer This course served to introduce students to the main discussions taking place in the realm of online political communication. In the design and implementation of this course, I placed focus on using empirical work to provide nuanced answers to current public debates.Average teaching evaluation score: 5.29/6.