Aaron Reeves

Aaron Reeves is a Senior Research Epidemiologist at RTI. He has considerable experience in population heath and policy-driven research in humans and animals in the United States, the United Kingdom, and elsewhere. He is an expert in data collection, curation, and management; statistical epidemiological analyses; and data visualization.

Dr. Reeves is well versed in simulation model development in C++, Python, and multiple other languages and platforms. He used R, SQL, GIS, and other tools for data wrangling.

Currently, Dr. Reeves supports the Alcohol Use Disorder Treatment Simulation: Modeling Treatment Impacts on Alcohol-Related Disparities in the U.S. This study focuses on access to health services across the continuum of care, from screening and brief intervention to specialty care and informal treatment. Dr. Reeves leverages his expertise to build and calibrate a microsimulation model of alcohol health services based on a guiding conceptual model that includes individual, organization, community, and policy factors that prevent people from seeking and receiving evidence-based alcohol-related care. This study will project the changes in alcohol use disorder treatment disparities under several enhanced conditions to identify the mix and distribution of services that would best reduce racial/ethical, socioeconomic, gender, and urban/rural treatment disparities in a cost-effective manner.

Prior to joining RTI in 2022, Dr. Reeves served as a principal investigator for the Quantitative Epidemiology of COVID-19 in Rural Scotland. The project aimed to characterize the spread of and epidemiological factors contributing to COVID-19 in rural Scotland. He also served as a co-principal investigator/research fellow for EPIC: The Scottish Government’s Centre of Expertise on Animal Disease Outbreaks. EPIC is a collaborative interdisciplinary consortium of six leading Scottish institutions, with the mission of delivering the highest quality scientific advice to Scottish Government regarding the prevention of and response to animal disease.