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.
- 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] @ Fall 2021 [93 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 .
I am also a big fan of outdoor activities such as: hiking and scuba diving, and I love national park.