Resume
Academic Achievements
- Published a study comparing AI-generated JITAIs with interventions written by medical professionals, showing higher user acceptance for the AI-based suggestions (https://doi.org/10.1145/3706598.3713307).
Research Experience
- During his PhD, he used intensive longitudinal methods (e.g., Ecological Momentary Assessment, Micro-randomized Trials) to investigate situational and motivational determinants of physical activity. Currently, as a Visiting Fellow at the University of Jyväskylä (Finland), he is researching the integration of Behavior Change Techniques into AI-generated interventions.
Education
- PhD in Health Psychology, supervised by Prof. Jens Blechert (University of Salzburg)
Background
- His research interests include health psychology, behavioral medicine, and the application of generative AI in health interventions. He focuses on developing time- and context-dynamic models of health behavior to support more precise just-in-time adaptive interventions (JITAIs).
Miscellany
- Involved in several digital health projects, such as SmartPA.