Cameron Smith

Cameron Smith is a Research Associate in the Department of Mathematical Sciences at the University of Bath, specializing in mathematical modeling of infectious diseases and evolutionary dynamics. His work bridges mathematical theory with biological applications, focusing on hybrid modeling approaches to solve complex problems in disease transmission and pathogen evolution.

Dr. Smith earned his Master of Mathematics from the University of Bath (2012-2016) followed by a Master of Research in Mathematics (2016-2017). He completed his PhD titled Developing hybrid frameworks for modelling reaction-diffusion systems in June 2021 under the supervision of Professors Yates and Adams.

His research focuses on the intersection of mathematical biology and infectious disease dynamics with particular emphasis on:

• Hybrid modeling approaches combining different mathematical frameworks
• Within-host and between-host infectious disease transmission
• Evolutionary dynamics of pathogens and parasite virulence
• Reaction-diffusion systems applied to biological problems
• Spatial variation in infection dynamics
• Mathematical modeling of defensive symbionts and their impact on disease evolution

Analysis of his publication history reveals a consistent research trajectory focused on mathematical approaches to understanding infectious disease transmission across multiple scales. His 2025 publications demonstrate continued innovation in coupling different modeling frameworks, while his 2023 work on SARS-CoV-2 evolution shows responsiveness to contemporary public health challenges. Dr. Smith frequently collaborates with Dr. Ashby, indicating a productive research partnership focused on evolutionary epidemiology.

Dr. Smith's work has gained recognition in the academic community, with his 2023 paper on SARS-CoV-2 evolution in immunocompromised hosts receiving 11 citations. His research appears in high-impact journals including Journal of Theoretical Biology, Journal of Evolutionary Biology, and Evolution, Medicine, and Public Health, demonstrating both methodological rigor and biological relevance.