I am a PhD student at the UKRI Centre for Doctoral Training in NLP at the University of Edinburgh where I study the relationship between language variation and identity and its interaction with language technologies in society.
Speech & language technologies and algorithmic bias: I focus on how speech and language technologies interact with the broader sociolinguistic and social context - both the ways in which they and AI more broadly (re)produce systemic inequities and power structures and the ways in which sociolinguistic and social context could be incorporated in more equitable designs and technologies. I use theories and methods from sociolinguistics to explore why speech and language technologies work better for some speech/user communities and language varieties than others ("bias") and how that relates to broader issues of algorithmic bias. I am also very interested in how users/speakers use these technologies in their everyday life, and how a sociolinguistically-informed, feminist approach to data science (Data Feminism), speech and language technologies and design (Design Justice) can help contextualise and mitigate the harms of biased system behaviours.
Sociophonetics: I am particularly interested in how people use language variation to express and construct different facets of their identities such as gender, sexuality and local identity. I have worked on sociophonetic research projects on variation and change in Edinburgh English. I am also interested in the use of computational and quantitative methods in sociophonetic research. In my research, I apply methods of sociophonetics to understand why speech and language technologies work better for some language varieties than others.
I have also been involved in Lothian Lockdown: The Lothian Diary Project, an interdisciplinary research project which aims to document Lothian residents' lived experience of the COVID-19 pandemic.
My supervisors are Dr Catherine Lai and Prof Lauren Hall-Lew.