Dr. Ware has a doctoral degree in epidemiology and master’s degrees in statistics and epidemiology. Dr. Ware’s work has been focused on psychiatric genetic epidemiology and high throughput statistical analysis of genomic data and its relationship to outcomes that show marked disparities across ethnic groups and sexes, including depression, and post-traumatic stress. She also has experience in exploring the relationships among genomic, transcriptomic, and epigenetic data and their interactions with behavioral and socioeconomic risk factors as determinants of chronic disease phenotypes using cutting-edge computational methods. In addition to her own research, Dr. Ware is responsible for analysis of the genetic architecture, including heritability, gene set, and gene by environment interaction, of a large (~20,000) population-based database with respect to hypertension. She is currently research faculty in the  Population Neurodevelopment and Genetics group at the University of Michigan Institute for Social Research integrating biological and social data on a large scale to evaluate health disparities in the Health and Retirement Study, the Army Study to Assess Risk and Resilience in Service members, and the Fragile Family study. 

As the polygenic score lead for the Health and Retirement Study, she has consulted with the National Longitudinal Study of Adolescent to Adult Health (Add Health), English Longitudinal Study of Ageing (ELSA) and the Panel Study for Income Dynamics (PSID) in their creation of polygenic scores. 

Dr. Ware also teaches at the University of Michigan (School of Information, Master's in Data Science online program, SIADS502 - Math Methods for Data Science) and Wayne State University (School of Medicine, FPH7350 - Programming for Public Health Professionals and FPH7240 - Epidemiology).

She was an intermittent instructor for Washtenaw Community College 2012-2015 (Department of Mathematics, MTH160 - Basic Statistics).