The goal of my research in the lab is to develop computational tools to examine mechanisms of change in psychotherapy and subsequently use these computational tools to identify and establish predictors of treatment response to specific psychotherapy interventions, ideally, such that they can be deployed in clinical practice. To achieve this goal, I am building generative computational models of learning and behaviour implicated in psychopathology, in particular depression, and psychotherapy interventions, as well as behavioural paradigms to experimentally assess the behaviour and test the models.
My research interests are strongly shaped by my educational background. I did a Bachelor of Arts in Experimental Psychology at the University of Oxford and a Master of Science in Psychology with a focus on clinical psychology at the University of Zurich. Subsequently, I conducted a PhD at the Translational Neuromodeling Unit at the University of Zurich under the supervision of Dr. Quentin Huys and Prof. Klaas Enno Stephan. During my PhD, I was involved in the AIDA study, a patient study examining mechanisms underlying antidepressant discontinuation and predictors of subsequent relapse. Trying to identify such mechanisms and predictors, I applied a machine learning approach to demographic and clinical data, analyzed neuroimaging data collected during "unconstrained cognition" and applied computational modelling to behavioural data of a physical effort task. In parallel to my research PhD, I underwent training as a clinical psychologist which I recently completed.