I (name audio) am a computational sociologist studying social movements, politics, organizations, and inequality. I received my Sociology PhD in 2020 from the University of Arizona. I am working as an Assistant Professor of Sociology and Institute for Advanced Computational Science at Stony Brook University.

My ongoing work combines statistical, network, and computational methods with large-scale datasets to study shareholder activism and corporate political behavior. My work has been published in Journal of Marriage and Family, Demography, Poetics, International Journal of Comparative Sociology, American Journal of Sociology, and PLoS One.

I am currently also working on a project mapping and predicting social distancing behavior combining SafeGraph and Facebook data with a deep learning approach. I am also using computational methods to track U.S. public firms’ responses to COVID19.

If you need CSS-related talks or workshops, please feel free to contact me directly.

Download Zhang’s Vita Here.

Click Here to See Data Visualization for the AJS Article.

New Paper Alert

Seguin, Charles, Chris Julien, and Yongjun Zhang 2021. “The stability of androgynous names: Dynamics of gendered naming practices in the United States 1880–2016.” Poetics