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., 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
et al., 2020, Twenty-seven-year time trends in dementia incidence in Europe and the United States: The Alzheimer Cohorts Consortium, Neurology, Vol:95, ISSN:0028-3878, Pages:e519-e531
et al., 2020, The dynamics of biomarkers across the clinical spectrum of Alzheimer's disease, Alzheimers Research & Therapy, Vol:12, ISSN:1758-9193, Pages:1-16
et al., 2019, Alzheimer's disease progression and risk factors: A standardized comparison between six large data sets., Alzheimers & Dementia, Vol:5, ISSN:1552-5260, Pages:515-523
et al., 2019, Perspective: Clinical relevance of the dichotomous classification of Alzheimer’s disease biomarkers: Should there be a “grey zone”?, Alzheimers & Dementia, Vol:15, ISSN:1552-5260, Pages:1348-1356