Laura Han

The overall aim of my research is to investigate quantifications of the biological age to better understand the complex interplay between mental health and aging. During my PhD, I focused on the development of machine learning models using neuroimaging data from large-scale population cohorts and global consortia, and the application of these models to (clinical) datasets to identify contributing factors to biological aging. Recently, I was awarded with a Rubicon grant from the Dutch NWO to continue this line of research at the University of Melbourne as a Postdoctoral Research Fellow. Here, I will extend our work to young persons and evaluate whether abnormal age-related neurodevelopmental deviations predict functioning, disease severity, and treatment response. This ongoing work is a collaborative effort between, amongst others, researchers involved in the ENIGMA consortium.