Biography
Vicki’s original background is in cognitive neuroscience, having completed her PhD at the MRC Cognition and Brain Sciences Unit in Cambridge in 2022. Her thesis used functional MRI and meta-analysis to investigate the overlap between language and executive control networks in the brain, to determine the functional specialisation of the left posterior lateral temporal cortex in particular.
Since early 2023, Vicki has been part of the core CCRIT team, with a mission to improve accessibility and quality of statistical training for the life sciences research community at the University. A large part of her time is spent delivering training, but she also writes new courses to meet the demand and interest of Cambridge researchers, including topics such as mixed effects/hierarchical modelling, survival (time-to-event) analysis, and simulation methods. She has a strong interest in pedagogical scholarship within and beyond Cambridge, and is a Fellow both of the Higher Education Academy and the Royal Statistical Society.
Publications
Hodgson, V. J., Ralph, M. A. L., & Jackson, R. L. (2024). Disentangling the neural correlates of semantic and domain-general control: The roles of stimulus domain and task process. Imaging Neuroscience, 2, 1-21.
Hodgson, V. J., Lambon Ralph, M. A., & Jackson, R. L. (2023). The cross-domain functional organization of posterior lateral temporal cortex: insights from ALE meta-analyses of 7 cognitive domains spanning 12,000 participants. Cerebral cortex, 33(8), 4990-5006.
Hodgson, V. J., Ralph, M. A. L., & Jackson, R. L. (2021). Multiple dimensions underlying the functional organization of the language network. NeuroImage, 241, 118444.
Teaching and Supervisions
2025/2026:
- Core Statistics in R - Training Lead
- Experimental design for statistical analysis - Training Lead
- Linear Mixed Effects Models - Training Lead
- Generalised Linear Models - Training Lead
- Advanced Statistics - Training Lead
2024/2025:
- Core Statistics in R - Training Lead
- Experimental design for statistical analysis - Training Lead
- Linear Mixed Effects Models - Training Lead
- Generalised Linear Models - Training Lead
2023/2024:
- Core Statistics in R - Training Lead
- Experimental design for statistical analysis - Training Lead
- Linear Mixed Effects Models - Training Lead
- Generalised Linear Models - Training Lead
- Analysing your own data: a workshop on statistics and experimental design - Training Lead
- Advanced Statistics - Training Lead, Trainer
2022/2023:
- Core Statistics in R - Training Lead
- Experimental design for statistical analysis - Training Lead
2021/2022:
- Introduction to R - Training Lead, Trainer
- Core statistics - Training Lead, Trainer
- Advanced Statistics - Training Lead, Trainer
- Reproducible Research - Training Lead, Trainer
2020/2021:
- An Introduction to MATLAB for biologists - Trainer

