Natalie grew up in Oberems (Switzerland). She received her Master of Science degree in Psychology from the University of Bern, where she currently is a doctoral student at the Department of Personality, Differential Psychology, and Psychological Testing and Assessment. Her current research interests are in modeling methods (e.g., latent growth curves and fixed-links models) to dissociate various components of response time variance. She is particularly interested in the functional relationship between these components and psychometric intelligence. In her research project, she analyses various homogenous tasks with increasing task demands and investigates the role of the worst performance rule as well as the complexity hypothesis of intelligence. This enables her to further elucidate specific RT components underlying the well-established association between speed of task-related information processing and psychometric intelligence.