Jeremy M G Taylor

Jeremy M G Taylor is the Pharmacia Research Professor of Biostatistics and holds professorships in the Department of Radiation Oncology in the School of Medicine and the Department of Computational Medicine and Bioinformatics at the University of Michigan. He serves as the Associate Director for Biostatistics at the Comprehensive Cancer Center and directs both the University of Michigan Cancer Center Biostatistics Unit and the Cancer/Biostatistics training program.

His educational background includes:

• B.A. in Honours Mathematics from Cambridge University (1978)
• Dip. Stat. in Statistics from Cambridge University (1979)
• PhD in Statistics from University of California, Berkeley (1983)

Professor Taylor's research focuses on the theory and application of statistics to biomedical problems, with an emphasis on data-driven, robust, and flexible statistical methods that incorporate scientific knowledge from specific research domains. His theoretical interests span Box-Cox power transformations, robust methods, causal inference, nonparametrics, and smoothing techniques. His applied work centers on cancer and AIDS research, particularly in radiation oncology, where he has developed methods involving mixture models, stochastic processes, multistate models, and multiple imputation.

His extensive publication record demonstrates a continued focus on survival analysis, longitudinal data modeling, biomarker evaluation, and clinical trial design. Recent work explores time-varying effects, joint modeling approaches, multiple imputation techniques, and the integration of external information into statistical models, with applications across various cancer types including prostate, head and neck, and liver cancers.

Awarded the Mortimer Spiegelman Award from the American Public Health Association, the Michael Fry Award from the Radiation Research Society, and the Jerome Sacks Award from the National Institute of Statistical Sciences, Professor Taylor has established himself as a leading biostatistician in cancer research methodology.

With over 35 years of academic experience (UCLA 1983-1998, University of Michigan 1998-present), Professor Taylor has maintained an active research program while mentoring numerous students and collaborating extensively with clinical researchers. His work bridges sophisticated statistical methodology with practical applications in cancer treatment and outcomes research.

As director of the Cancer Center Biostatistics Unit and the Cancer/Biostatistics training program, he leads a significant research team focused on advancing statistical methods for cancer research and training the next generation of biostatisticians.