Ben Barnard is a Data Scientist for Wells Fargo and a Statistics Instructor for the University of South Alabama. His research interests include Bayesian methods, statistical programming, teaching statistics, and using common sense in data science. He currently leads the development of several R and python packages for internal Wells Fargo use. Outside of work Ben likes to spend time with his family, working on the house, competing in triathlons, and speaking at conferences.
PhD in Statistical Sciences, 2018
MS in Statistical Sciences, 2016
MSEd in Exercise Physiology, 2013
BS in Exercise Science, 2011
University of Texas at Arlington
Testing functions for Covariance Matrices. These tests include high-dimension homogeneity of covariance matrix testing described by …