Jeremy Michael George Taylor

Jeremy Michael George Taylor is a Professor at the University of Michigan, specializing in theoretical statistics. He earned his Ph.D. in Statistics from the University of California, Berkeley in 1983 under the supervision of Kjell Doksum, with foundational research on data symmetry transformations.

Education:

• Ph.D. in Statistics, University of California, Berkeley, 1983

His research centers on Statistical Theory and Data Transformation methodologies, particularly techniques for achieving symmetric distributions in non-parametric analysis. This work underpins robust data preprocessing frameworks critical for handling skewed datasets in applied statistics, with implications for distributional modeling and inference validity. His dissertation "Transformations to Symmetry" remains a significant contribution to symmetrization theory.

Professional Affiliations:

• Professor, University of Michigan (current)
• Ph.D. Alumnus, UC Berkeley Department of Statistics (1983)