معرفی
Dr. Zeny Feng is a Professor of Statistics and Graduate Coordinator in the Department of Mathematics and Statistics at the University of Guelph. Her research focuses on statistical methodologies applied to epidemiology, healthcare policy, and computational biology. She holds a B.Sc. in Statistics from York University (1999), an M.Math. in Biostatistics from the University of Waterloo (2000), and a Ph.D. in Statistics from the University of Waterloo (2005).
Her research interests span statistical modeling for infectious diseases (e.g., hepatitis C elimination strategies), cost-effectiveness analyses of novel therapies (e.g., CAR T-cell treatments), and bioinformatics applications including metabolomics and pathogen genomics. She develops computational tools like Pathogen.jl for disease transmission modeling and has contributed to agent-based simulations for public health decision-making.
Her work integrates statistical theory with real-world challenges, bridging epidemiological surveillance systems and health utility assessments. Recent studies address disparities in patient care outcomes and optimize resource allocation for chronic disease management in diverse settings.
Publications from 2022–2025 highlight methodological advancements in mixed-type data imputation, agent-based modeling for viral eradication, and precision medicine applications. Her interdisciplinary approach addresses global health challenges through rigorous statistical frameworks.
