I am a PhD candidate in Biostatistics at Duke University. I am also a member in the Biostatistics and Study Design Core of NIH Collaboratory of Pragmatic Clinical Trials, and a student affiliate with the Program for Comparative Effectiveness Methodology at Duke Clinical Research Institute. I received my master's degree in Biostatistics at Duke University in 2014. My expected graduation date is May 2019.
As a biostatistician, I have a keen interest in comparative effectiveness research methodology for observational studies and cluster randomized trials. My doctoral dissertation focuses on developing novel propensity score methods for causal inference with difference-in-differences and multiple treatments. In addition to my dissertation research, other problems that interest me stem from pragmatic trials. In particular, my recent work aims to improve the design and analysis of longitudinal cluster randomized trials (e.g., stepped wedge and crossover) within the framework of marginal models. I also have a wide collaborative interest in applied statistics; my previous collaborations spanned a range of areas, such as epidemiology, biology, linguistics and sociology.
Current Research Interests
Causal inference; Cluster randomized trials; Semiparametric inference; Bayesian methods
Current Appointments & Affiliations
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