Supervision
Note: In 2026/27, I’m not available to supervise UG and PG dissertations.
I’m really interested in how people learn and generalise—how they move from concrete surface representations (like words and chunks) to more abstract ones (like rules and patterns). Most of my own research has focused on language, but I’ve had great fun supervising projects on learning, communication, cognition, and psychological/experimental/statistical methods more broadly.
Please do get in touch if you’re interested in working with me on any of the following topics:
- word segmentation
- rule learning
- rule generalisation
- neurodiversity (esp. autism) and its impact on word/rule learning
- scholarship of teaching and learning
Methods I’m happy to supervise:
- behavioural experiments (especially psycholinguistic methods and artificial language learning)
- corpus studies
- computational modelling and simulation
- statistical analysis, both frequentist and Bayesian
Resources for supervisees
Managing your literature
- A blog post on organising notes on academic literature using a synthesis matrix which I wrote during my PhD.
- UoE guidance on reference management tools.
Reporting your results
- How to report a linear modelling analysis (a checklist I wrote for the course Data Analysis for Psychology in R 2)
Finding your writerly voice
- I like to reread these books every couple years:
- Style: Toward Clarity and Grace by Joseph M. Williams (1990)
- Stylish Academic Writing by Helen Sword (2012)
- Coming soon: A walkthrough of my favourite way to plan, draft, and revise a piece of writing (blog post)
Previous supervisees
Undergraduate
- Juliet Gray (MA Hons Philosophy and Psychology, 2026)
- Ethan Yeo (MA Hons Sociology and Psychology, 2026)
Postgraduate
- Abdulelah Alsharif (MSc Psychological Research)
- Hanyi Gu (MSc Psychological Research)
- Yuanhong Shen (MSc Psychological Research)
- Sigurd Farstad Iversen (MSc Evolution of Language and Cognition, 2023)