معرفی
Professor Glenn Marion serves as Head of Research at Biomathematics and Statistics Scotland (BioSS), formally part of the James Hutton Institute. His work applies mathematical modeling to address societal challenges through real-world applications and methodological advancements across three core research themes: statistics, bioinformatics, and process & systems modelling.
Marion's research spans complex systems modeling and statistical inference for process models. In complex systems, he develops tools to understand emergent properties critical to addressing unintended consequences in wildlife disease control, pesticide application, and livestock disease management. His statistical inference work has advanced model choice, assessment, and data augmentation Markov Chain Monte Carlo techniques, with applications in phylodynamics, spatial disease risk, and epidemic data analysis. Ongoing work focuses on software applications, improved particle filtering, and novel epidemic inference methods.
Analysis of Marion's recent publications (2021-2024) reveals a strong focus on epidemiological modeling, particularly related to livestock diseases and pandemic response. His work integrates mathematical modeling, statistical inference, and genetic approaches to address disease transmission dynamics. Key themes include network analysis of livestock trading, age-stratified contact patterns during pandemics, and genetic aspects of disease resistance. Marion frequently develops practical tools like the SIRE 2.0 software for estimating host genetic variation in disease transmission.
As Head of Research at BioSS, Marion oversees a vibrant PhD studentship program and fosters collaborations with biological sciences, mathematics, statistics, and informatics communities. His leadership strengthens BioSS's research environment while deepening interactions with applied challenges in plant science, animal health, ecology, human health, and environmental management.
Marion's work is applied across diverse domains including plant science, animal health and welfare, ecology and environment, human health and nutrition, offshore renewables, and wastewater surveillance of diseases like COVID-19. His research addresses immediate real-world challenges through close collaboration with scientists working in these application areas, demonstrating the practical impact of quantitative methods in biological sciences.
