My research focuses on the developement and evaluation of empirically-based tools to enhace person-specific decisions in psychotherapy. My goal is to support therapists in their everyday clinical decision making with data. To this end, we use machine-learning models in large datasets of already treated patients to predict the probability of treatment sucess, failure, and duration under different treatment conditions. Moreover, we use intensive longitudinal data to derive idiographic models of the dynamic system of a patient to understand the person-specific symptom dynamics and tailor interventions accordingly.
For an overview of my work click here.