Welcome

Menglin (Miley) Liu

  • Assistant Professor of Computational Social Science
  • Assistant Professor of AI (by courtesy)
  • The Chinese University of Hong Kong, Shenzhen
  • MPhil-PhD Program Coordinator / Advisor, School of AI
  • Co-founder, SurveyFluency
Photo of Menglin Liu

About Me

I am an Assistant Professor of Computational Social Science at The Chinese University of Hong Kong, Shenzhen, and an Assistant Professor (by courtesy) at the School of Artificial Intelligence. I also serve as the Coordinator/Advisor for the MPhil-PhD program at the School of AI. 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. I am also a cofounder of SurveyFluency, an AI startup for intelligent survey analytics. My research also explores the intersection of reinforcement learning and social science.

My work has been published in journals such as Local Government Studies and Cities, 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.

Highlights

Key areas of research, projects, and scholarly output.

Research Focus

NLP for political text, urban governance, housing policy, public opinion measurement, and reinforcement learning for social science.

Key Projects

PoliPrompt — open-source LLM classification toolkit. SurveyFluency — AI-driven survey intelligence platform.

Publications

Published in Local Government Studies and Cities. Working papers on LLM text classification and urban political behavior.