معرفی
Matthew Betti is an Associate Professor in the Department of Mathematics and Computer Science at Mount Allison University. His research focuses on mathematical modeling of biological systems, particularly epidemiological dynamics and honeybee colony health. He applies computational and mathematical approaches to study disease transmission, vaccination strategies, and population-level impacts of interventions.
His work integrates multi-scale models to address questions in public health, such as the efficacy of non-pharmaceutical interventions during pandemics and the spread of viral variants. He has also developed the Bee++ agent-based simulator to study honeybee colony dynamics and disease resilience. Key areas of interest include parameter estimation in biological systems, sensitivity analysis, and evolutionary stability in pathogen-host interactions.
Recent studies have examined the effects of SARS-CoV-2 variants on vaccination outcomes, in-host viral dynamics, and the application of mathematical models to Ontario, Canada’s public health policies. His research emphasizes interdisciplinary approaches bridging mathematics, ecology, and public health.
