Welcome

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

I am a Postdoctoral Researcher at the University of Arizona. My work brings together acoustics, sociolinguistics, and quantitative methods to understand variation in speech across dialects, development, and other indexical characteristics.

I study accent perception, speech timing and fluency, and acoustic variation, with a particular interest in developing reliable quantitative methods for measuring speech.

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/