Hello, world! I am Yuanmo, an academic researcher and a stand-up comedian.

I am a computational social scientist with expertise in identifying and employing the most effective data and methods to analyse social issues. I am interested in data science and AI, not only to harness their power but also to evaluate their social impacts. I am currently a Fellow in Advanced Quantitative Methods at the Department of Methodology and an Affiliate at the Data Science Institute of the London School of Economics and Political Science. I just completed a PhD in Social Research Methods from the same department. I hold an MSc in Applied Social Data Science from LSE and a BSc in Social Sciences from University College London.

In my current fellowship, I am developing research ideas in the area of AI alignment and policy, while publishing findings from my PhD.

My PhD dissertation 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. The first paper of my PhD has been published in Sociological Methods & Research (a top peer-reviewed journal in sociology and quantitative social science). The second paper of my PhD received an honourable mention at the 2023 International Conference on Computational Social Science.

Please find my academic CV (last updated 19 Oct 2024) or industry resume (last updated 12 Nov 2024).

I am a stand-up comedian in my free time. I also write blog posts in English and Chinese.

• Stand-up info can be found on Instagram or the Comedy page
• English blog at substack
• Chinese blog at WeChat Public Account: 默克思