Hyeongjae Lee

About Me

Hyeongjae seeks to explore how technological change and skill development, grounded in human capital, influence the structure and dynamics of labor markets. In his research, he employs various quantitative methodologies including natural language processing (NLP), network analysis, machine learning, and statistical modeling to analyze complex socio-economic interactions.

My interests

• Career Dynamics
• Education
• LLMs
• Complexity Network
• Machine Learning

Contact

hyeongjaelee [at] kaist.ac.kr

Publications

• Who Counts as “the People”? Measuring Contested Political Concepts from Political Speech using Masked Language Models. EMNLP 2026, 20314-20325, 2026 (SAC Highlight Award). Article
• Who Delegates to AI? Evidence from 53,000 Agent Configurations. arXiv preprint, 2026. Article
• Lee H, Hong I. Quantifying the influence of vocational education and training with text embedding and similarity-based networks. PLoS One 20(8): e0329405, 2025. Article