Aja Sutton is a computational social scientist, health geographer, and demographer. She holds a PhD in Geography from the University of Washington, where she was also a TADA-BSSR NIH T32 Fellow in Data Science and Demography at UW’s Center for Studies in Demography and Ecology (CSDE). Her research is primarily focused on the social, behavioural, demographic, and spatial dimensions of population health. To this, she brings advanced theoretical and technical knowledge in social and evolutionary ecology, survey methods, sociology, human behaviour, demography, and Bayesian statistical methods (incl. spatial and space-time analysis). Her current research focuses on identifying the effects digital culture can have on epidemiological processes by altering social and behavioural landscapes at the individual-, group-, and population-levels. She is also developing Bayesian spatial statistical methods to improve indirect estimation of social and population characteristics using complex survey data. At the PRC, she is helping to identify the spatial distribution of populations living in difficult-to-measure living situations (e.g., group quarters) to improve small area population estimates for Oregon agencies and stakeholders. For more information, please see her personal website.