Zhenke Wu is an Associate Professor of Global Public Health and Biostatistics at the University of Michigan with 11 years of experience developing AI-driven, Bayesian latent variable methods for affordable, individualized healthcare in low- and middle-income countries. He builds open, reproducible statistical software and has led practical applications such as pediatric pneumonia etiology estimates across multiple sub-Saharan African and Southeast Asian countries and domain-adaptive mortality estimation from verbal autopsy. His work bridges rigorous methodological development—precision medicine, interventional and predictive mobile health—with large-scale field trials, including contributions to the world’s largest multi-year micro-randomized trial in physician training. Based in Ann Arbor and trained at Johns Hopkins and Fudan, he blends deep statistical theory with hands-on implementation in LMIC settings and is actively advancing digital mental health for Kenyan healthcare workers. A practical innovator, he often focuses on translating complex models into publicly accessible tools that directly inform policy and care where civil registration systems are limited.
11 years of coding experience
7 years of employment as a software developer
Johns Hopkins University
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Fudan University
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Zhenke Wu - Associate Professor Of Global Public Health