Dr. Oluwatobi Adegbile

He has been involved in managing several large-scale multidisciplinary research activities. Previously, he worked as a clinical research coordinator, leading a multi-country, multi-center World Health Organization Bill and Melinda Gates-funded research project to improve outcomes in preterm newborns in developing countries. He served as the Clinical Research Coordinator for this multi-country project. In this role, he jointly supervised the research activities of over 1,000 trial participants and 50 staff members, gaining invaluable experience in clinical trials, project and risk management, supporting a vibrant workforce that fostered effective communication with faculty and staff.

Dr. Adegbile received his Master of Public Health degree (MPH) from East Tennessee State University (ETSU) in 2024 with a concentration in Epidemiology and a certificate in Health Data Analytics. He possesses extensive skills in utilizing large and complex datasets to generate hypotheses and draw sound inferences, leveraging advanced statistical skills and software, including SAS, SPSS, R, Python, and data visualization tools such as Tableau and Microsoft Power BI. He has published his work in high-impact journals.

Dr. Adegbile possesses a unique skill in research administration and building multidisciplinary collaborations. He has collaborated with researchers from both national and international settings. Currently, he volunteers as a Senior Research Associate at the ETSU Center for Cardiovascular Risk Research, where he leads several work streams focused on cardiovascular health disparities among rural and underserved populations. Additionally, he maintains an active partnership with the University of Washington Institute for Health Metrics and the Global Burden of Disease research collaboration, where he serves as a Senior Collaborator. He has contributed to and gained co-authorships on several manuscripts within the GBD workflow.

At GBD, Dr. Adegbile partners with collaborators worldwide to generate timely, relevant, and rigorously validated evidence that clarifies the state of health everywhere across diverse diseases, injuries, and risk factors among all age groups. He utilizes key metrics, including the Socio-Demographic Index (SDI), Disability-adjusted Life Years (DALYs), morbidity, mortality, quality of life, and life expectancy, to evaluate the burden of diseases, injuries, and risk factors across various population contexts globally, regionally, nationally, and sub-nationally.

In his free time, he enjoys reading, spending time with family, and volunteering as a custodian in his local church.