معرفی
Timothy D Johnson is a Professor in the Biostatistics department at the University of Michigan School of Public Health. His research focuses on Bayesian statistical methods, neuroimaging analysis, and biomedical data modeling.
Education:
- PhD, University of California, Los Angeles (1997)
- MS, University of California, Riverside (1986)
- BS, University of California, Riverside (1984)
Research Interests: Dr. Johnson develops advanced Bayesian methodologies for high-dimensional biomedical data, particularly in neuroimaging applications. His work addresses challenges in spatial statistics, mixture models, and variable parameter spaces, with applications spanning neuroscience, cancer, endocrinology, and radiology.
Publications Trends: His recent work emphasizes scalable Bayesian frameworks for neuroimaging, applications of stimulated Raman histology in oncology, and statistical solutions for clinical radiology. Many articles focus on improving diagnostic accuracy in gliomas and understanding social cognition through neuroimaging.
