I am a 2nd year PhD student in School of Information at University of Michigan, where I am advised by Paramveer Dhillon and Daniel Romero. Meanwhile, I am working with Yong-Yeol Ahn, Kristina Lerman , and Yuan Yuan on various research projects. My research interest is broadly in computational social science. Specifically, I study what drives the popularity of people (e.g artists, scientists) and cultural artifacts (e.g music, vlog). Regarding methods, I use causal inference, natural language processing, network analysis, and machine learning.

Before that, I worked as a multimedia journalist and report stories on global culture such as HIV in Uganda and Chinese calligrapher in US , at the Daily Monitor (leading media at Uganda), Indiana Daily Student, and Inside Magazine.


  • Novelty in what sense? Heterogeneous relationships between novelty and popularity in music [IC2S2 2021, Special Recognition Award]
    Yulin Yu, Ben Cheung, Yong-Yeol Ahn, Paramveer Dhillon

Honors and Awards

  • Special Recognition Award , 7th International Conference on Computational Social Science, 2021 (Music Novelty Paper)

    Research Internship