About Me

Hello! I am a Ph.D. candidate in the Department of Biostatistics at University of Michigan advised by Dr. Walter Dempsey and Dr. Zhenke Wu.

Research Theme:

My doctoral research focuses on developing robust and efficient methodologies to evaluate causal excursion effects in sequential, adaptive intervention experiments. My work leverages new experimental approaches, such as micro-randomized trials (MRTs), as well as causal inference and supervised learning methods. The general theme of my research is to advance a more relevant, valid, and precise assessment of digital health intervention effects in the new context of time-varying treatments and repeated outcomes with clustering, interference, and high-dimensional nuisance parameters.


Causal Inference; Causal Excursion Effect; Just-In-Time Adaptive Interventions; Micro-randomized Trials; Mobile Health; Time-varying Moderation Effect; Double robustness.

Research labs:

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