Yuanmo He

Yuanmo He is an LSE Fellow in Advanced Quantitative Methods at the Department of Methodology at the London School of Economics and Political Science. He holds a PhD in Social Research Methods from LSE and specializes in using computational methods to study socioeconomic inequality through digital trace data.

His research examines how daily behaviors and social interactions reinforce socioeconomic disparities, employing machine learning, natural language processing, and social network analysis. Current work explores AI alignment policies while continuing investigations into inequality patterns observable through digital footprints.