Chris is a mathematical modeller. His research interests and experience span a wide range of topics in the area of Mathematical Biology. His main area of expertise lies in the mathematical modelling of epidemic and evolutionary processes in finite structured populations. He is experienced in modelling within- and between-host dynamics of viral infections and control interventions. His current research involves the development of mathematical and computational tools to improve understanding of the natural history of Alzheimer’s disease and facilitate the assessment of candidate therapies.
et al., 2023, SARS-CoV-2 viral dynamic modeling to inform model selection and timing and efficacy of antiviral therapy, Cpt-pharmacometrics & Systems Pharmacology, ISSN:2163-8306
et al., 2023, SARS-CoV-2 elicits non-sterilizing immunity and evades vaccine-induced immunity: implications for future vaccination strategies, European Journal of Epidemiology, ISSN:0393-2990
et al., 2022, Comparative assessment of viral dynamic models for SARS-CoV-2 for pharmacodynamic assessment in early treatment trials, British Journal of Clinical Pharmacology, Vol:88, ISSN:0306-5251, Pages:5428-5433
et al., 2022, Exploring the Role of Antiviral Nasal Sprays in the Control of Emerging Respiratory Infections in the Community, Infectious Diseases and Therapy, Vol:11, ISSN:2193-8229, Pages:2287-2296
et al., 2020, Association of TDP-43 proteinopathy, cerebral amyloid angiopathy, and Lewy bodies with cognitive impairment in individuals with or without Alzheimer's disease neuropathology, Scientific Reports, Vol:10, ISSN:2045-2322