Khia Johnson is a quantitative UX research scientist with nine years of experience studying how humans perceive, experience, and interact with audio and speech technologies. Currently at Meta Reality Labs Research, she applies rigorous statistical methods (mixed-effects models, Bayesian approaches, PCA) to probe audio perception and voice interaction in immersive systems. Her PhD training in linguistics and extensive academic publication record underpin a rare combination of experimental design, corpus development, and applied product research—she once led creation of a bilingual Cantonese-English speech dataset used for multi-project acoustic analyses. Khia has a track record of translating lab-grade experiments into scalable online studies and tooling (jsPsych) for broader research use. Based in Seattle, she blends deep domain expertise in speech sciences with practical UX insights to inform audio-driven product decisions.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (BA), Linguistics, Magna Cum Laude, Bachelor of Arts (BA), Linguistics, Magna Cum Laude at University of Washington
Denison University
Doctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at The University of British Columbia
An open-access corpus of conversational bilingual speech in Cantonese and English
Contributions:1 release, 32 commits, 2 PRs in 2 years 5 months
nlpbilingualopen-accesscantoneseconversational
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