I’m a UX Research Scientist at Reality Labs Research, where I work on questions related to how humans experience, perceive, and interact with novel audio and communication technologies. Both at and outside of my work, I’m interested in speech, voice, audio, language tech, the perception-production interface, quantitative/mixed methods, multilingualism, social variation, and how context of all kinds shapes communication. I think augmented, mixed, and virtual reality are cool and interesting, even if I’m a little bit skeptical of them in a lot of contexts.
I successfully defended my PhD dissertation in linguistics from the University of British Columbia on December 10, 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 freely available.
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, applying scientific inference to real, hard problems.
If you are a linguistics, psychology, or social sciences grad student thinking about making the jump to the tech industry, I’m always happy to share my experiences and knowledge. I care deeply about access to information (see my blog post), working on diverse teams, and love mentoring—as both mentor and mentee. You can follow me on Twitter @khia_johnson, or connect with me on LinkedIn (please include a note!), or by email at firstname.lastname@example.org. Be sure to tell me a bit about yourself, what you study, and why you’re interested in connecting.
Last updated July 5, 2022.