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 learn to implement analyses in R and to connect what the software outputs to what 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.