Seo Eun Yang (phonetic: Saw-Uhn Yang, nickname: Sunny) (she/her) is a political scientist who studies graph/network theory, deep learning, Natural Language Processing (NLP), and Computer Vision (CV). Her research interest lies at the intersection of political communication, political psychology, and computational social science, with an emphasis on photojournalism, visual politics, framing studies, and political neuroscience. Her research addresses three questions: (1) How do we integrate the various types of data (e.g., image, text, and social networks) simultaneously and extract the semantic meaning from them; (2) How do media outlets, politicians, and institutions deploy visual and verbal approaches to shape political meaning through framing processes?; and (3) How do people digest images? i.e. neurological cognitive understanding of visual literacy. Past research has focused on developing new methods for a machine-learning visual framing analysis to analyze the media’s responsibility for the biased representation of social minorities. She earned her BE and MS in Statistics from Korea University and a PhD in Political Science from the Ohio State University.