Welcome

Automation and data visualization

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Hi! I’m Lian, a speech scientist studying how speech is perceived across both typical and clinical populations.

I am currently a Postdoctoral Researcher in the Speech Imaging Laboratory at the University of Wyoming. This website includes my publications and CV, along with resources for creating figures in R and automating workflows in Python.

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My work bridges acoustics, sociolinguistics, and quantitative methods for understanding variability in speech.

My research focuses on how accent distance relates to perception, how speech timing and fluency can be reliably measured, and how speech patterns differ across dialects, development, and other indexical characteristics. A recurring theme is turning complex speech data into interpretable, reproducible analyses.

Though my formal training is in speech science, I work extensively with computational tools. I primarily use R for analysis and visualization and Python for automation and reproducibility.

I also work with crowdsourced remote experiments and am experienced with the PsychoPy–Pavlovia–Prolific pipeline. Click here for static examples.

More recently, I've gotten into creating web-based apps with Shiny. Click here for an example entirely unrelated to speech.

Sincerely,
/liæn ɑɹzbɛkɚ/