I currently work at Meta’s Reality Labs Research doing UX research for audio and related R&D domains. This article gives a good overview of the kinds of problems I work on. Both at and outside of my work, I’m interested in voice/audio tech, the perception-production interface, quantitative methods, multilingualism, social variation, and how context shapes communication.
I almost have a Ph.D. in linguistics from the University of British Columbia (defending in Dec. 2021!). My dissertation research focused on phonetic variation in bilingual speech production and creating the spontaneous speech corpus needed for that work. As a part of the Speech-in-Context Lab, I developed and analyzed various speech perception experiments in areas like perceptual learning/adaptation, talker identification, and talker evaluation. Most of my publications are available for free on the cv page.
I have a strong foundation in corpus-based and experimental quantitative research methods. I use both R and Python and like to think deeply about causal relationships and apply scientific inference to real, hard problems. I occasionally blog about these topics.
If you are a linguistics or psychology grad student thinking about making the jump to the tech industry, I’m happy to share my experiences and knowledge. I care deeply about access to information, working on diverse teams, and love mentoring—as both mentor and mentee. You can connect with me on Twitter (faster) or by email.