Personal profile
Research overview
I am broadly interested in how we tackle complex observation processes with statistics, particularly for applications in ecology and epidemiology. My work focuses on developing new Bayesian methods to deal with these problems, at improving communication between applied scientists and statisticians, and attempting to synthesise the highly disparate methods already applied to these problems. I enjoy collaborating with researchers (including students) and practitioners from different backgrounds, so if you would be interested in working together please get in touch!
I am a member of the Centres for Research into Ecological and Environmental Modelling (CREEM) and for Modelling Social Complexity (CFMSC), and the Early Career Lead for the National Centre for Statistical Ecology (NCSE).
External positions
Early Career Lead, National Centre for Statistical Ecology
Affiliate Researcher, School of Biodiversity, One Health and Veterinary Medicine , University of Glasgow
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 10 Reduced Inequalities -
SDG 15 Life on Land
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Collaborations and top research areas from the last five years
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LIES of omission: complex observation processes in ecology
Chadwick, F. J., Haydon, D. T., Husmeier, D., Ovaskainen, O. & Matthiopoulos, J., 2 Apr 2024, In: Trends in Ecology and Evolution. 39, 4, p. 368-380 13 p.Research output: Contribution to journal › Review article › peer-review
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Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country
Chadwick, F. J., Clark, J., Chowdhury, S., Chowdhury, T., Pascall, D. J., Haddou, Y., Andrecka, J., Kundegorski, M., Wilkie, C., Brum, E., Shirin, T., Alamgir, A. S. M., Rahman, M., Alam, A. N., Khan, F., Swallow, B., Mair, F. S., Illian, J., Trotter, C. L. & Hill, D. L. & 4 others, , 26 May 2022, In: Nature Communications. 13, 9 p., 2877.Research output: Contribution to journal › Article › peer-review
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COVID-19-exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study
Hanlon, P., Chadwick, F., Shah, A., Wood, R., Minton, J., McCartney, G., Fischbacher, C., Mair, F. S., Husmeier, D., Matthiopoulos, J. & McAllister, D. A., 1 Mar 2021, In: Wellcome Open Research. 5Research output: Contribution to journal › Article › peer-review
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Advances in approximate Bayesian inference for models in epidemiology
Li, X., Chadwick, F. & Swallow, B., 1 Dec 2025, In: Epidemics. 53, 13 p., 100855.Research output: Contribution to journal › Review article › peer-review
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Complex observation processes in ecology and epidemiology: general theory and specific examples
Chadwick, F. J., 29 Mar 2023, 129 p. Online : University of Glasgow.Research output: Other contribution