Weihua An

Associate Professor

Emory Sociology and Quantitative Theory and Methods

Office: Tarbutton Hall 102

Email: weihua.an@emory.edu


  • PhD in Sociology, Harvard University, 2011
  • MA in Statistics, Harvard University, 2009
  • MA in Economics, Claremont Graduate University, 2005
  • MA in Political Science, Peking University, 2002
  • BA in Public Administration, Wuhan University, 1999


Dr. Weihua An is Associate Professor (tenured) of Sociology & Quantitative Theory and Methods and associated faculty of The East Asian Studies Program, The 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. His 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 Forces, Social Networks, Social Science Research, Sociological Methodology, Sociological Methods and Research, Journal of Statistical Software, The 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 Review, Journal of Machine Learning Research, Social Science Research, Sociological 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.

Please visit his personal website (www.weihuaan.net) for more information and news.