Xiaoya Jiang is a PhD candidate at the University of Wisconsin-Madison. She conducts public opinion research on contentious societal issues. Her research has three major aspects: (1) assess public opinion using computational methods, (2) examine and detect predictors for public opinion, (3) provide intervention strategies for shaping public opinion, such as promoting pro-social public opinion. She uses a variety of methodological perspectives, such as based on data from survey, experiment, and social media platforms, she conducts statistical modeling, natural language processing, machine-learning, social network analysis, and time series analysis to answer research questions. Her previous studies cover topics in health, political, and strategic communication. She is currently interested in using visual data for assessing public opinion, and using large language model based agents for opinion simulation and intervention.