Menglin Liu

I am an Assistant Professor of Computational Social Science at The Chinese University of Hong Kong, Shenzhen. My research bridges political science and natural language processing (NLP), with a focus on American politics, urban governance, and the measurement of political behavior and public opinion.

I develop scalable NLP pipelines to extract meaning from unstructured political text and audio data. My projects include PoliPrompt, an open-source Python package for prompt optimization and LLM-based classification, and large-scale studies on latent ideology in congressional speeches, emotion and effort in open-ended survey responses, and political language in housing policy debates.

My work has been published in journals such as Local Government Studies and presented in venues across computational social science. I have professional experience as a data analyst and regularly collaborate with political scientists and policy organizations to translate complex data into actionable insights.