Seoeun Yang (correct phonic pronunciation: Saw-Uhn Yang) is a PhD political science student majoring in Political Methods and Political Psychology and minoring in Computer Science. Her research interest lies in computational social science, focusing on machine learning, network/graph theory, Bayesian deep learning, Natural Language Processing (NLP), computer vision, and computational neuroscience. Her substantive interest includes political communication, political psychology, public opinion, and political economy. Seoeun earned her BA and MA in Statistics from Korea University, and earned an MA in Political Science from University of Rochester. She is the winner of the best paper presentation award in proceedings of the Korean Statistical Society in 2014.
Seoeun’s current project focuses on developing unsupervised/semi-supervised multi-modal model combining verbal and non-verbal data so as to analyze the media’s responsibility of the biased representation of social minorities focusing on the refugee crisis.