I'm a fifth year PhD Candidate and National Science Foundation Graduate Research Fellow in the Department of Linguistics at the University of Washington. My research is primarily in the areas of computational sociolinguistics, or how our social identity affects how we use language in computational contexts.
Some current research projects:
- Dissertation: I am modelling the role of both acoustic information and knowledge about the speaker on perceptual adaptation to new dialects. This will provide a roadmap to help automatic speech recognition adapt to new accents in a human-like way.
- Some initial results, presented at the Pacific Northwest Regional Natural Language Processing Workshop.
- Abstract for my presentation of my initial behavioral experimental results at Experimental Approaches to Perception and Production of Language Variation (ExAPP) 2016.
- Poster outlining both experimental data and computational modelling, presented at the Natural Language Processing and Computational Social Science workshop at EMNLP 2016
- Studying language use and variation on social media (see publications)
- My research on dialect and gender bias in Youtube's automatic captions was covered in depth by the Daily Dot, San Francisco Chronicle and L'Atelier (in French). It was also mentioned in this article about prejudice in machine learning and this article by the Atlantic.
- My research on deictic and semantic influences on emoji ordering was featured in New York Magazine's The Science of Us as well as in Supertext Magazine.
Education and Outreach:
- Instructing for Software Carpentry, a volunteer organization which offers free introductory courses in scientific computing (Unix shell, Python, R, Git, SQL).
- Writing a blog to introduce linguistics concepts to a lay audience.
- Running the Lingstatschat Slack, a place for people to talk about linguistics and statistics in a welcoming, low-stakes environment. Sign up here.
- Volunteering at outreach events such as Paws On Science at the Pacific Science Center.