Member Database

Zhenke Wu

Assistant Professor
Public Health

PhD, Johns Hopkins University

Zhenke Wu’s research involves the development of statistical methods that inform health decisions made by individuals. He is particularly interested in scalable Bayesian methods that integrate multiple sources of evidence, with a focus on hierarchical latent variable modeling. We have applied our methods to estimate the etiology of childhood pneumonia, autoantibody signatures for subsetting autoimmune disease patients and to predict whether a user is engaged with mobile applications.
Zhenke has developed original methods and software that are now used by investigators from research institutes such as US CDC and Johns Hopkins, as well as site investigators from developing countries, e.g., Kenya, South Africa, Gambia, Mali, Zambia, Thailand and Bangladesh.
Zhenke completed a BS in Math at Fudan University in 2009 and a PhD in Biostatistics from the Johns Hopkins University in 2014 and then stayed at Hopkins for his postdoctoral training. Since 2016, Zhenke is Assistant Professor of Biostatistics, and Research Assistant Professor in Michigan Institute for Data Science (MIDAS) at University of Michigan, Ann Arbor.


Bayesian Hierarchical Models for Using Mobile Technology to Individualize Care in Mental Health, MGI

University Affiliation(s)


Research Area(s)

Data science / Analytics / AI | Health outcomes | Population Health


  • Principal investigator of: Pneumonia Etiology Research for Child Health (PERCH) Project
  • Principal investigator of: Bayesian Hierarchical Models for the Design and Analysis of Studies to Individualize Healthcare
  • Co-investigator of: Single Molecule Counting Digital Immunoassay Platform for Ultrafast Multiplex Screening of Cytokine Release Syndrome in CAR-T Patients
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