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Weihua AnAssociate Professor | QTM & Sociology


Dr. Weihua An is Associate Professor (tenured) of Sociology & Quantitative Theory and Methods and associated faculty of The East Asian Studies ProgramThe Goizueta Business School, and The Rollins School of Public Health at Emory University. He received a Ph.D. in Sociology and an A.M. in Statistics from Harvard University and was a doctoral fellow and a postdoc fellow at Harvard Kennedy School. Prior to joining the Emory faculty, he was Assistant Professor of Sociology and Statistics at Indiana University and a faculty member of the Indiana University Network Science Institute and Data Science Program.


  • Ph.D, Sociology, Harvard University, 2011
  • M.A., Statistics, Harvard University, 2009


Dr. Weihua An’s research advances theories and methods for network analysis & causal inference with applications to studying inequality and social policy, health, and organizations. His work has appeared in Social ForcesSocial NetworksSocial Science Research, Sociological MethodologySociological Methods and ResearchJournal of Statistical SoftwareThe R Journal, etc. He is also an author of several R packages, including "fglsnet" for multivariate regression analysis of outcomes with network dependence, "LARF" for instrumental variable estimations of causal effects via local average response functions, and "keyplayer" for locating key players in social networks. He has given presentations at The Carter Center, Duke University, Facebook, Harvard University, National Opinion Research Center, Princeton University, University of Chicago, Yale University, etc. His work has been funded by NIH, NSF, and the U.S. Census Bureau. He has served or is serving on the editorial boards of American Sociological ReviewJournal of Machine Learning ResearchSocial Science ResearchSociological Methodology, and Sociological Methods and Research. He is a recipient of the Faculty Teaching Award from Emory Sociology and has advised over 20 dissertations and multiple honors theses.


  • QTM 220: Regression Analysis
  • QTM 385: Network Analysis
  • QTM 385: Advanced Network Analysis