I’m extremely fortunate to work with several amazing students to whom I serve as primary or co-advisor.
Interested in joining the lab?
For advising expectations and how to reach out (undergraduates, graduate students, postdocs, visiting scholars, and others), see
Say hi / advising.
Open Member Database
Search, filter, and sort all members
Current
7
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Past Members
17
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Alumni have gone on to faculty roles, industry, and strong graduate programs. Placements and timelines are easiest to explore in the Member Database (filter by alumni year, role, and more).
Please send an email to zhenkewu@gmail[punto]com for updates to your entry.
Former PhD Students
9
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Former MS Students
8
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Terminal MS degree
- Chen Chen | (MS 2022) | MS | UMich | biostat | "Variance as a predictor for survival outcomes" | First position after graduation: PhD Student in Biostatistics, University of Toronto
- Zhongyuan Lyu | (MS 2019) | MS | UMich | stat | "Latent Class Model and Sparse Additive Regression Models" | First position after graduation: Math PhD Student, Hong Kong University of Science and Technology
- Jing Chu | (MS 2018) | MS | UMich | stat | "Regression Extension to Bayesian Analytic Kit for Etiology Research (baker)"
continued to PhD in lab
- Xingran Chen | (MS 2024) | MS | UMich | biostat | Placement: PhD Student (Biostat)
- Abigail Loe | (MS 2023) | MS | UMich | biostat | "Dynamic Prediction Models for Recurrent and Alternating Recurrent Events" | Placement: PhD (Biostat), 2026
- Jieru Shi | (MS 2020) | MS | UMich | biostat | "Statistical Methods for Assessing Time-varying Causal Effects; Novel Estimands and Inference" | Placement: PhD (Biostat), 2023
- Mengbing Li | (MS 2019) | MS | UMich | biostat | "Bayesian Structured Latent Variable Models for Individualized Health" | Placement: PhD (Biostat), 2025
- Jitao Wang | (MS 2019) | MS | UMich | biostat | "Reinforcement Learning for Interventional Mobile Health; Non-stationarity, Mediation, and Fairness Considerations" | Placement: PhD (Biostat), 2025
Former Undergraduate Students
5
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(those who wrote paper(s) in the lab is marked with $^*$)
After undergraduate research
- * Peter Yang | (UG 2025) | Undergrad | UMich | math, stat, computer science | "Apple SensorKit Data Analysis" | Placement: Software Engineer, Meta
- Owen Yoo | (UG 2024) | Undergrad | UMich | stat, data science | "Prior elicitation algorithms for inferring causes of death from computer-coded verbal autopsy data" | Placement: PhD Student, Department of Biostatistics, University of Pennsylvania
- * Bolin Wu | (UG 2023) | Undergrad | UMich | computer science | "Shinyapp for Enhancing Latent Class Analysis using Dirichlet Diffusion Tree" | Placement: Master of Computational Data Science Program, Carnegie Mellon University
- Jiayuan Dong | (UG 2021) | Undergrad | UMich | stat | "Readings on Probablistic Graphical Models" | Placement: Mechanical Engineering PhD Student, University of Michigan
continued in lab
- * Jianhan Zhang | (UG 2026) | Undergrad | UMich | math, data science | "Counterfactual Fairness in Reinforcement Learning via Marginal Distributional Matching" | Placement: PhD Student (Stat)
Former Research Staff
1
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- Zihan Wang | (2025) | Research Staff | UMich | biostat | "Counterfactual Fairness in Reinforcement Learning with Budget Constraint" | First position after graduation: PhD Student in Health Data Science (Biostatistics concentration), George Washington University