Andy Larkin is an Assistant Research Professor in the Spatial Health Lab within the College of Health. His research focuses on the intersections of environmental epidemiology with new technologies and big data, including developing smartphone applications for air pollution informatics, computational models to predict biological responses to complex chemical exposures, and analyzing user interfaces from an affect heuristic perspective for optimal risk communication.

Currently, he is developing global land use regression (LUR) models, which predict air pollution levels based on land use and traffic characteristics, for NO2 and PM2.5 air pollution. These models will be applied to the Prospective Urban and Rural Epidemiological (PURE) cohort study. He is also developing spatial exposure assessment methods for unconventional oil and gas development that can be used in future epidemiological analyses. Additionally, Dr. Larkin is conducting novel exposure assessments for green space using a smartphone application, Google Street View imagery, and image processing techniques.