Kevin He

Kevin He is an Associate Professor in the Department of Biostatistics at the University of Michigan School of Public Health. He serves as Associate Director of the Kidney Epidemiology and Cost Center (KECC) and leads statistical innovations in survival analysis, healthcare provider profiling, and data integration for biomedical applications.

• PhD in Biostatistics (University of Michigan, 2012)
• MS in Biostatistics (University of Michigan, 2008)
• BS in Statistics (Queen’s University, 2006)
• MS in Epidemiology (Queen’s University, 2004)
• BM in Clinical Medicine (Dalian Medical University, 2002)

His research focuses on survival analysis for large-scale datasets, machine learning for healthcare provider profiling, and statistical genetics in organ transplantation and chronic disease. He develops data integration frameworks for polygenic risk scores and statistical optimization algorithms for time-varying effects in national registries.

The 15 most recent articles highlight his work in survival modeling with time-varying coefficients, federated learning for privacy-preserving data integration, and genomic applications in inflammatory diseases. His methodological contributions span Kronecker product algorithms, proximal optimization, and penalized partial likelihood.

He mentors a team including software developers and graduate researchers working on deep learning, frailty models, and distributed computing. His lab maintains the surtvep R package for scalable survival analysis.