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Yubo (Mars) Zhou

📧 [email protected] ｜ Google Scholar ｜ CV

Master of Information Science (Thesis Track)
University of Michigan, School of Information

I am a Master of Information Science student (thesis track) at the University of Michigan School of Information, advised by Prof. Ceren Budak and working with Prof. Anhong Guo and Prof. Yulin Yu.

My research lies at the intersection of human–computer interaction and computational social science. I study how people seek help, learn from one another, and participate in online communities—and how AI and platform design shape these interactions. I am particularly interested in how systems can support individual goals while strengthening the relationships and shared knowledge that communities depend on.

I combine causal inference on large-scale platform data with the design and experimental evaluation of interactive systems. My projects span newcomer mentorship on Wikipedia, AI-supported discussion and co-writing, and user control over social media feeds.

Before Michigan, I received my B.S. (First Class Honours) in Business Computing and Data Analytics from Hong Kong Baptist University, where I worked on applied machine learning and graph algorithms with Prof. Jianliang Xu and Prof. Renchi Yang.

Beyond research, I teach information retrieval, serve as president of the School of Information Master’s Association, and organize the Computational Social Science Working Group. See my teaching and service.

Research Interests

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Selected Publications

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Selected Awards

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