Dr. Brown’s research interests include statistical consulting, data mining, spatial and time series data (e.g., geostatistics), design of experiments, regression analysis, repeatability and reproducibility, classification, dimension reduction, and statistical computing. He is highly proficient with statistical computing programs including R, Matlab, Python, and SPSS, and also has experience with SAS, Stata, C, and Java.
Before joining Exponent, Dr. Brown attended the University of Michigan where he served as a graduate student consultant at the center for statistical consultation and research. His thesis research is on the analysis of spatial data in a Gaussian framework.
CREDENTIALS & PROFESSIONAL HONORS
- Ph.D., Statistics, University of Michigan, Ann Arbor, 2014
- M.A., Statistics, University of Michigan, Ann Arbor, 2012
- B.S., Mathematics, University of Rochester, 2008
American Statistical Association