My research interests span computational linguistics, natural language processing, cognitive modelling, and complex networks. I am currently using computational methods to identify social and individual factors that condition linguistic variation and change on social media, under the supervision of Sharon Goldwater and James Kirby.
This summer I am interning at The Alan Turing Institute, working on algorithms for automatic detection of new word meanings from social media.
Previously I have studied phonological networks—a way of representing the mental lexicon as a graph in which similar-sounding words are connected to one another. My MSc thesis addressed methdological issues in comparing the structure of phonological networks across different languages or ages.
During a research internship at the USC Institute for Creative Technologies, I worked on identifying changes in voice quality, prosody, and other non-verbal behaviours that are indicative of remission from depression, and on crowd-sourcing micro-level video behaviour annotations.