I am a cognitive neuroscientist interested in how people understand complex narratives. My research focuses on the ways in which semantic and social cognition facilitate narrative comprehension, how this skill and the brain networks that support it change across development, and, in an emerging line of research, the role of individual differences in narrative cognition. In this latter work, I am applying precision neuroimaging techniques to characterise the topography of interlocking default networks within individuals to better understand the unique contributions these networks make to narrative processing. I am separately examining how differences in the perception of narrative content may drive differences in engagement of the default, social, and semantic brain networks.
My research is motivated by three fundamental themes:
(1) Investigating interactions across cognitive systems
(2) Studying cognition in context using naturalistic paradigms
(3) Examining development of cognitive systems that support real-world processing
To investigate these topics, I use behavioural and neuroimaging methods, most consistently functional magnetic resonance imaging (fMRI). Where possible and when the research question is well-suited for it, I use naturalistic stimuli, such as narratives and movies, to better approximate cognition as it occurs in day-to-day life.
I am currently working as a postdoctoral research fellow in the Centre for Reproductive Health at the University of Edinburgh working on the PREterm Neurodevelopment and COGnition (PRENCOG) study. My role in the study is to collect and analyse fMRI data at 5 years of age to study cognitive outcomes in school-aged children born preterm and at term. The overarching goal is to better understand the brain development of children born preterm in order to better support their positive growth and outcomes as they get older.