Andriy Koval is a Senior Informatician with 13 years of experience applying quantitative methods, reproducible research, and data visualization to public-sector analytics and health surveillance. Currently at Alberta’s Ministry of Seniors, Community and Social Services, he builds research data warehouses, scalable analytics, and capacity-building programs to evaluate government services using quasi-experimental designs. His background spans academia and applied health systems work—from a Ph.D. in Quantitative Methods and postdoctoral roles to a Health System Impact Fellowship—giving him deep expertise in measurement, case definitions, and longitudinal data coordination. Andriy combines rigorous statistical practice with practical tooling for reproducible workflows, often focusing on mental health and substance-use surveillance where comorbidity and complex service trajectories demand bespoke solutions.
13 years of coding experience
6 years of employment as a software developer
M.A., Quantitative Psychology, M.A., Quantitative Psychology at Middle Tennessee State University (MTSU)
Doctor of Philosophy (Ph.D.), Quantitative Methods, Doctor of Philosophy (Ph.D.), Quantitative Methods at Vanderbilt University
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