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
- PhD research intern : USC Information Sciences Institute
Mentor: Dr. Kristina Lerman @2021.5-2021.8
- SI 671/721 Data Mining @ Fall 2019 [75 students]
- SI 630 Natural Language Processing @ Spring 2020 [76 students]
- Applied Machine Learning [Online]
Art motivates creativity in research! I am a classical trained mezzo soprano. You can visit my performances at my Youtube Channel . I am also interested in visual art in general. For other artsy stuffs I did, please visit my undergrad life pages .