Brain and Cognitive Aging
PhD candidate in Psychology at the University of Gothenburg, examining how factors such as education influence late-life brain deterioration and cognitive decline. I work with longitudinal PET and MRI data from the COBRA prospective cohort study, using Bayesian structural equation modeling to track coupled changes in brain structure, neurochemistry, and cognition.
I work in the Lövdén Lab and the ICON Lab, using longitudinal PET and MRI data from the COBRA prospective cohort study. My dissertation examines whether and how education moderates the relationship between brain change and cognitive decline in healthy older adults. I expect to defend in autumn 2026.
Methodologically, I build large-scale computational pipelines for Bayesian structural equation models, psychometric analyses (CFA, IRT, measurement invariance), and machine learning — often running hundreds of model specifications in batch. I am also developing semla, a Python package for structural equation modeling with Bayesian estimation.
Started development of semla, a Python package for structural equation modeling and latent variable analysis.
Manuscript on dopamine D2 receptor loss, cognitive decline, and lifestyle factors under revision at Imaging Neuroscience.
Half-time seminar completed. Department of Psychology, University of Gothenburg.
Talk at the COBRA Project Retreat, Max Planck Institute for Human Development, Berlin.
PET imaging from the COBRA study examining five-year associations among dopamine D2-like receptor loss, cognitive decline, and lifestyle factors.
Multi-cohort study testing whether education moderates the link between hippocampal atrophy and memory decline.