My primary research interests lie in causal inference including the analysis of observational studies, the analysis of randomized studies complicated by various issues such as truncation, and mediation analysis. I develop statistical methodologies that are motivated by real life problems, especially in relation to public health, medicine, public policy, and social science.
- PhD in Applied Mathematics and Computational Science, University of Pennsylvania, 2014
- BS in Mathematics and Applied Mathematics, Zhejiang University, 2009
What makes you passionate about or interested in biostatistics?
Biostatistics is a perfect field for people like me who enjoy mathematics and enjoy solving real life problems related to public health. It is rewarding to help clinical researchers to better understand and interpret the information from the data in order to make sound decisions.