About

Peng Huang is an Assistant Professor of Sociology at the University of Georgia. He received his PhD in Sociology and an MS in Statistics from the University of California, Irvine, trained in the Networks, Computation, and Social Dynamics Lab. He also holds BAs in Sociology and Economics from Peking University.

Huang’s research focuses on social networks and population dynamics, adopting a relational and structural approach to explore social processes and people’s experiences therein. His first line of research examines migration and population change, covering topics including population immobility, “California Exodus,” and spatial polarization. Another line of research utilizes spatially-embedded network models to understand infectious disease diffusion, spanning spatial patterns of local outbreaks, disease transmission mechanisms, and health disparity issues.

Huang also develops mathematical, statistical, and computational methods to model network and population structures, dynamically and at a large scale. He has designed and implemented estimation procedures for exponential-family random graph models (ERGMs) on valued/weighted networks, models for longitudinal network analysis, and imputation algorithms for small area estimation.

Huang is a recipient of the Outstanding Publication Award and the Dissertation Award from the Mathematical Sociology Section of the American Sociological Association, and the Best Student Paper Award from the International Network for Social Network Analysis, among others. His research articles have appeared in or are in press at American Sociological Review, Journal of Mathematical Sociology, Proceedings of the National Academy of Sciences (PNAS), Social Networks, Sociological Methodology, and Demography.

Contact

Email: peng.huang [at] uga.edu
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