About me
As a PhD student in the research group of Prof. Dr. phil. Marialuisa Cavelti, I investigate how digital tools can support and improve mental health care. My work uses ecological momentary assessment (EMA) to capture real-time symptom dynamics in everyday life. These data are then used in machine learning approaches to develop just-in-time adaptive interventions (JITAIs), which deliver personalized support tailored to individuals’ momentary needs.
My main PhD project, Bridge, focuses on developing and piloting a smartphone-based, transdiagnostic JITAI for adolescents and young adults waiting for psychiatric treatment. The aim is to provide timely, accessible support during waiting periods that are often critical and associated with symptom deterioration.
In parallel, I am involved in the SmartVoices project, which examines psychotic experiences in young people. This includes studying their characteristics, how daily stressors contribute to their occurrence, and whether adaptive digital interventions can reduce the distress associated with phenomena such as auditory verbal hallucinations.
Overall, I am particularly interested in advancing preventive approaches in youth mental health through innovative, digital methods. As a creative person, I enjoy developing intervention tools and therapeutic content, and I value collaborative and interdisciplinary work.
