Dabao Zhang

Dabao Zhang is a Professor at the University of California, Irvine School of Public Health in the Department of Epidemiology & Biostatistics. His research focuses on statistical methodology for high-dimensional data, causal inference, and computational biology applications.

• Ph.D. in Statistics (Cornell University, 2003)
• M.Sc. in Probability & Statistics (Peking University, 1993)
• B.Sc. in Mathematical Statistics (Nankai University, 1990)

His research interests include:

• Construction of large causal systems and big data visualization
• Statistical genetics and omics data integration
• Gene-environment interactions and survival analysis
• AI explainability and generative models for text analysis

Recent research projects involve:

• Developing exploratory tools for big data relational structures
• Computational algorithms for biological causality inference
• Novel measures for AI model explainability

Scientific awards:

• National Science Foundation CAREER Award (2009)
• Purdue University Seed for Success Awards (2011, 2020)
• Purdue College of Science Outstanding Service Award (2023)

His methodological contributions span generalized linear models, gene network analysis, and metabolomic profiling, with applications in cancer research, plant genetics, and neurodegenerative diseases.