Xiaohan Wu
I am a Ph.D. candidate in Political Science at the University of California, San Diego, specializing in Computational Social Science. I am advised by Molly Roberts and affiliated with the Halıcıoğlu Data Science Institute.
My research lies at the intersection of quantitative methods, political communication, and law. I combine large-scale data analysis with methodological innovation to study how digital platforms shape public access to legal and governmental information and to advance empirical legal research.
Prior to UCSD, I earned an M.S. in Electrical Engineering from Columbia University, with a focus on data analysis and machine learning. I worked as a Data Science Research Associate at Columbia Law School, where I collaborated with Benjamin Liebman at the Hong Yen Chang Center for Chinese Legal Studies.
My work has been published in journals such as Sociological Methods & Research, Comparative Political Studies, Asian Journal of Law and Society, and the Columbia Law Review. I am also a co-developer of ccmEstimator, an R package for comparative causal mediation analysis.
Outside of research, I enjoy climbing, playing the flute, and training my dog.
