Carries out independently, under supervision, and in collaboration, designated research tasks and projects, making use of selected methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systematic review methods), and statistical analysis (data visualization, descriptive analyses, time series analyses, latent modelling, multilevel modelling). Further, the fellows will have an opportunity to learn from our highly interdisciplinary, collaborative, and dynamic research group that meets regularly and includes leading scientists (and other fellows) with expertise in several disciplines including: epidemiology, gerontology, social determinants of health, environmental health, and microbiome among others.