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.
Keywords:
Causal Inference; Causal Excursion Effect; Just-In-Time Adaptive Interventions; Micro-randomized Trials; Mobile Health; Time-varying Moderation Effect; Double robustness.
Research labs:
News
- 2022.11.20 Submitted “Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes” to Biometrics for publication!
- 2022.10.05 My first paper Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity is accepted by Biometrika for publication!
- 2022.8.31 Done with my dissertation proposal!
- 2022.8.10 Presented my work in JSM 2022!