Jieru Shi

PhD (Biostat), 2023

University of Michigan
Website
herashi.github.io
Email
herashiobfuscate@umich[punto]edu

Alumnus Since

2023

First position after graduation

Postdoctoral Fellow, Department of Pure Mathematics and Mathematical Statistics (DPMMS), University of Cambridge, UK

Thesis/Project

Statistical Methods for Assessing Time-varying Causal Effects; Novel Estimands and Inference

Education:

2020-2023, Ph.D. in Biostatistics, University of Michigan, Ann Arbor

2018-2020, M.S. in Biostatistics, University of Michigan, Ann Arbor

Awards:

  • 2023, Travel Award for the 14th International Conference on Health Policy Statistics (ICHPS), Scottsdale, AZ, 2023

  • 2022, Winner, Junior Researcher Travel Grant, American Causal Inference Conference (ACIC), Berkeley, CA

Papers (partial)

1. Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation. Jieru Shi, Zhenke Wu, Walter Dempsey (2025) ► Journal of American Statistical Association [paper link] [doi]

2. Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes. Jieru Shi, Zhenke Wu, Walter Dempsey (submitted) ► [paper link]

3. Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity and Interference. Jieru Shi, Zhenke Wu, Walter Dempsey (2022) ► Biometrika [paper link] [code] [doi]