Workshops
I run workshops on statistics and computational modelling in psychology, currently covering:
- Structural Equation Modelling in Psychology & Social Sciences (2-3 days)
- Introduction to Bayesian Statistics in R with brms (1-3 days, depending on depth)
- Analyzing Data on the Level of Cognitive Processes / Introduction to the R package bmm (2-3 days)
- Simulation Studies to challenge intuitions about statistics and psychological theories (2-3 days)
If you are interested in including one of my workshops in your PhD or graduate program, please get in touch.
Lectures & Seminars
I have also taught courses in undergraduate and graduate programs at Heidelberg University, the University of Zurich, and the University of Lucerne, covering:
- Introduction to Statistics
- Introduction to Psychometrics
- Current topics in Cognitive Psychology
These are typically weekly 2-hour sessions with work to be completed between meetings.
Teaching philosophy
My starting point is that statistical methods carry direct meaning for scientific questions — they are not just mathematical formalism to get through on the way to a result. I cover the mathematical foundations (probability theory, sampling, Bayes’ theorem) and connect them to both frequentist and Bayesian analyses, rather than presenting these as separate toolboxes. Students implement analyses in R and learn to read the output in terms of the scientific question they were actually asking.
I also treat reproducibility as part of methods training, not an add-on. Students document their code and data, preregister where appropriate, and share materials on OSF.