About

I’m an FWF ESPRIT Principal Investigator in the Methods of Psychology (MOPS) lab at the University of Vienna. My background is in engineering (signal processing) and computer science. I’m interested in how people learn, make decisions, and experience emotions, and how computational models can help us understand these processes.

I study how people represent emotionally relevant situations and learn from experiences involving emotions such as fear and anxiety. I’m also developing models of emotion regulation: how people influence their emotional responses, how this ability changes with experience, and when learning carries over to new situations. I’m interested in what these processes can tell us about mental health and how psychological interventions might be improved. My work combines computational modeling with lab and online experiments, using behavioral, physiological, and neural data.

In parallel, I’m interested in how scientists can make the best use of available evidence and resources. I’ve contributed methods for designing informative experiments, evaluating psychological measurements, and testing computational models. My meta-scientific research includes computational models of science and the reproducibility of findings and theories.