Yuanmo is an LSE Fellow in Advanced Quantitative Methods at the Department of Methodology. He just completed a PhD in Social Research Methods at the LSE. He holds an MSc in Applied Social Data Science from LSE and a BSc in Social Sciences from University College London. His doctoral thesis uses large-scale digital trace data and advanced computational methods (e.g., machine learning, natural language processing, causal analysis, and social network analysis) to study how daily behaviours and social interactions reflect and reinforce socioeconomic inequality.
Yuanmo is passionate about data science and AI, not only to harness their power but also to evaluate their social impacts. In his current fellowship, he is developing research ideas in the area of AI alignment and policy, while publishing findings from his PhD.
Yuanmo is a stand-up comedian in free time. He also writes blog posts in English and Chinese.