Trevor Swanson, PhD

Post-Doctoral Researcher
Primary office:


My research is focused on developing, testing, and applying methods from dynamical systems theory and network science to the study of clinical and social psychological processes, especially with regards to psychopathology and the structure of the self-concept. In my PhD thesis, I developed a methodology termed 'moderated multilevel vector autoregression' for studying the influence of moderator variables in multilevel temporal networks --- I am currently applying this method to study the influence of self-complexity on depressive symptomatology using intensive longitudinal data, and have implemented the method in freely available R software. Beyond this, my primary interests are in longitudinal methods, computational modeling, and nonlinear dynamics. 

Please see the following link for a list of current publications: