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. In Fall 2023, I will be a Postdoctoral Research Fellow in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics (DPMMS) at the University of Cambridge with Dr. Qingyuan Zhao.
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
- 2023.6.29 Submitted Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation on arXiv!
- 2023.6.28 Submitted A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation on arXiv!
- 2023.6.15 Successfully defended my PhD dissertation (with a tweet)!
- 2023.5.23 Presented my work in ACIC 2023 at Austin!
- 2023.3.22 Presented my work in ENAR 2023 at Nashville!
- 2022.12.14 I have been selected as a recipient of a travel award for the 14th International Conference on Health Policy Statistics (ICHPS)!
- 2022.11.20 Submitted Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes on arXiv!
- 2022.10.05 My first paper Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity is published by Biometrika!