About

I am a 2nd year PhD student in School of Information at University of Michigan, where I am advised by Prof.Daniel Romero. 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.

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

Presentation

  • 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