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University of Michigan School of Information

Yulin Yu

Yulin Yu

PhD Student Email:


I am a PhD student in School of Information at University of Michigan, where I am advised by Daniel Romero. For more information, please visit:



Areas of interest

My research interest is broadly in computational social science and information diffusion . Specifically, I apply data science methods including causal inference, network analysis, natural language processing, machine learning, and experiments to study what drives the popularity of people (e.g artists, scientists) and cultural artifacts (e.g music, vlog, social media posts). I am very interested in understanding these topics in global and cross-cultural perspectives.

Honors & awards

Novelty in what sense? Heterogeneous relationships between novelty and popularity in music. Special Recognition Award, 7th International Conference on Computational Social Science, 2021


Purple background with photo of Yulin Yu. Text reads: "Gendered Citation Patterns Among the Scientific Elite."
Researchers find gender disparities limit academic reach and recognition

The scholarly influence of women looks very different from men in the elite sciences, according to research from UMSI and USC. The study reveals continuing challenges for gender equality in scientific research.


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"Winter 2022 Data Science/Computational Social Science Seminar Series"
Winter roster of Data Science/Computational Social Science Seminars speakers announced

Registration now open for weekly series, which begins Feb. 10

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