Before coming to Stanford, I studied Mathematics and Linguistics toward a BA(Hons) from the University of Canterbury, New Zealand, and worked as a Research Assistant at the New Zealand Institute of Language, Brain and Behaviour.
My research aims to identify the biases and constraints underlying spoken language perception and to understand their implications for the way that language is used and for the way that language use changes over time. I use a three-pronged approach to this goal, combining computational modeling, psycholinguistic experiments, and large-scale corpus analysis.
My dissertation research concerns the connection between asymmetries in spoken word perception and asymmetries in rates of sound change in words of different frequencies. It combines a corpus-based case-study in New Zealand English with psycholinguistic experimentation and computational modeling. I am advised by Dan Jurafsky (principal co-advisor; Stanford), Meghan Sumner (principal co-advisor; Stanford), and Jen Hay (reader; University of Canterbury, New Zealand).