My research interests surround cognitive science and embodied cognition.  Specifically, I'm interested in how mental representations and conceptual knowledge are grounded, how we access and use these representations in language, and how we can create computational models to better understand human cognitive behaviour.  I use a range of interdisciplinary methods from experimental psychology and cognitive modelling to corpus linguistics and machine learning.  Some recent work has examined how sensorimotor experience (i.e., what we sense via different perceptual modalities, what we do via different action effectors) underpins word meaning, how distributional statistics from language capture important information about conceptual and social knowledge, how information about space and time is mentally represented, and how people combine concepts into new entities.

For more information, see my website and the Embodied Cognition Lab.