Good teaching starts with a question, not a method. In my courses, I try to establish why something matters before getting into how it works, whether that is computational text analysis, political communication, or the logic behind quantitative inference. Coming from a first-generation university background, I know how quickly a course can lose students when the bigger picture is missing. I also think it matters that students develop a critical eye: knowing when not to apply a method, what assumptions it rests on, and where the data comes from.
My teaching covers computational methods and substantive political science. I have taught courses on computational social science and core political science topics, and have developed a workshop on scaling computational workflows with high-performance computing and workflow management systems (taught at, e.g., COMPTEXT 2026; materials on GitHub). I hold a 200-work-unit teaching certificate in Professional Teaching from TU Darmstadt and was recognised with the Athene Teaching Award in 2023. Having worked in industry before academia, I also try to make clear how these skills translate outside of research.