Weihua An

Graduate Student, Social Policy Program, Harvard Kennedy School

Weihua is a PhD student in sociology, doctoral fellow in the Multidisciplinary Program in Inequality Social Policy at Kennedy School of Government and graduate associate of the Institute for Quantitative Social Science. He holds a master degree in statistics from Harvard (2009) and has strong interests in quantitative methods, especially causal inference, social network analysis, and Bayesian statistics. In sociological domains, he specializes in formal and statistical analysis of inequality and social policy, and sociology of health. Currently he is working on several projects, including Bayesian propensity score estimators to incorporate the estimation uncertainty in the propensity score into causal inference, statistical methods to separate network effects (selection, influence and reflection) from neighborhood effects, socioeconomic determinants of friendship network centrality, decomposition of the rural urban gap in social policy preferences, the psychological burden of spousal caregivers of cancer patients, etc. In leisure time, he likes playing basketball.