Welcome

Automation and data visualization

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

I am 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 to better understand variability in speech.

I study how accent distance relates to perception, how speech timing and fluency can be measured reliably, and how speech patterns differ across dialects, development, and other indexical characteristics.

Although my formal training is in speech science, I work extensively with computational tools. I primarily use R for statistical analysis and data visualization and Python for automation and reproducible workflows.

I also build and manage crowdsourced experiments and have experience with the PsychoPy–Pavlovia–Prolific pipeline. Click here for static examples.

More recently, I've started developing web applications with Shiny. Click here for an example entirely unrelated to speech.

/liæn ɑɹzbɛkɚ/