PhD-trained linguist specialising in variationist sociolinguistics, with a rigorous, data-driven approach to understanding language as a social phenomenon. Experienced in end-to-end research design, large-scale data collection, corpus coding and annotation, and advanced quantitative analysis using R and Python. Skilled at translating complex findings into clear, evidence-based outputs for diverse audiences.

My doctoral research on morphophonological variation in Beijing Chinese introduced a Chinese linguistic phenomenon into an English-language research paradigm, an experience that sharpened both my independent thinking and my ability to communicate across disciplinary and cultural boundaries. My thesis was nominated for the Nancy Millis Award, recognising excellence in doctoral research.

As a native Mandarin speaker with knowledge of several Asian languages, I bring a cross-cultural perspective that informs both my research and my collaboration with diverse communities and stakeholders. I am actively seeking opportunities at the intersection of language, data, and technology — including NLP, AI, applied linguistics, and research roles, where I can apply a researcher's precision and a genuine passion for language to real-world impact.