I am currently an MPhil student in Linguistics and Language Science at the University of Cambridge, specialising in psycholinguistics and experimental research methods. I have recently completed my undergraduate degree in psychology at the University of Edinburgh.
My research explores how people comprehend non-literal language (particularly sarcasm) across spoken and written communication. Despite experimental pragmatics and cognitive approaches to language comprehension, I'm also interested in the social side of communication, such as what a speaker's linguistic choices reveal about them and how social context shapes interpretation.
Methodologically, I usually work with eye-tracking (EyeLink 1000, SR Experiment Builder and DataViewer), self-paced reading (PCIbex and JavaScript) and visual-world paradigms (OpenSesame and Python), and I normally analyse the resulting data using linear mixed-effects and Bayesian modelling in R.
Beyond the lab I am active in student engagement and care about open science and science communication, including writing psychology articles for general audiences. In my daily life, I am also interested in reading and writing novels, watching musicals and horror movies/games, photography and calligraphy, etc.
Award and £200 prize for a graduating student to recognise sustained commitment to EDI and social justice.
Nominated for representing underrepresented students during representative work, and leading curriculum transference widening international students' voice in their learning. [see post]
Awarded twice as Psychology Programme Representative, recognising sustained contribution to student representation and curriculum work.
Awarded twice for volunteer service as Psychology Programme Representative.
Investigating whether linguistic processing speed is a specialised faculty or dissociates from general cognitive speed, using a novel linguistic inspection time paradigm programmed in JavaScript. Currently at the experiment design and piloting stage.
Pre-registered independent study examining how emoji previewed in parafoveal vision shape sarcasm interpretation in Chinese text. Designed and programmed the eye-tracking experiment using EyeLink 1000 and Experiment Builder, collected 66 Chinese adults, analysed eye-tracking data. Results suggest that emoji–word semantic congruency influences late re-reading but not initial processing, showing a different pattern from previously reported effects of object emojis.
- Poster presented at Architectures and Mechanisms for Language Processing (AMLaP) 2026 at Saarland University, Germany
- Currently under revision for journal publication
Visual-world eye-tracking experiment testing whether explicitly communicative settings pull predictions away from typicality and toward informativity. OpenSesame; data collection ongoing.
