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Resume (English only)
Academic Achievements
Published numerous academic papers including 'Identifiability of normal and normal mixture models with nonignorable missing data' (2016, Journal of the American Statistical Association) and 'On varieties of doubly robust estimators under missingness not at random with a shadow variable' (2016, Biometrika); involved in several research works that have been awarded or are under review.
Research Experience
Taught courses such as Advanced Theory of Statistics, Probability and Statistics, Data analysis and graphics with R, and Statistical culture and practice; supervised multiple PhD and Master students in their research projects.
Background
Associate Professor in the Department of Probability and Statistics, School of Mathematical Sciences and Center for Statistical Science at Peking University. His main research interests include causal inference, missing data analysis, semiparametric inference and doubly robust estimation, big data and artificial intelligence, as well as applications of statistics in economic, political, epidemiological, and biomedical studies.