Ph.D, Information Science, University of Michigan Ann Arbor
I am a PhD student in School of Information at University of Michigan, where I am advised by Paramveer Dhillon. Meanwhile, I am working with Yong-Yeol Ahn, Kristina Lerman, and Daniel Romero 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.