Wyatt is an epidemiologist and biostatistician with a background in public health. The main focus of Wyatt’s research is applying a combination of traditional statistical techniques and novel machine-learning and data mining approaches to large health care data in order to identify and understand disparities and inequities in health, health care, and health outcomes. Wyatt has extensive experience across a wide range of complex conditions including cancer, epilepsy, emergency surgery, multimorbidity. Wyatt also has led several research studies focusing on the documentation and impact of social risks on health and outcomes. Ultimately, Wyatt is passionate about identifying, understanding, and ameliorating health and health care inequities. Wyatt’s research has been funded by the National Institute on Minority Health and Health Disparities of the National Institutes of Health.