José G. Ramírez, Ph.D., is an industrial statistician working closely with engineers and scientists to help them "make sense of data," through collaborative education, promoting statistical thinking, and JMP usage. He has been using JMP and SAS for more than fifteen years as a catalyst to turn data into knowledge. He received a degree in mathematics from Universidad Simón Bolívar in Caracas, Venezuela, and an M.S. in applied statistics and a Ph.D. in statistics, both from the University of Wisconsin at Madison, where he was one of the founding members of the Center for Quality and Productivity Improvement. In 1998, at SUGI 23, he won the best contributed statistics paper, and in 2002 he was awarded the SAS User Feedback Award.
Brenda S. Ramírez, M.S., is an industrial statistician with more than fifteen years of experience working in the chemical and semiconductor industries. In this role, Brenda partners with engineers and scientists to help bring new products to market, sustain manufacturing operations, and guide process improvements through the union of science and statistics. She also has years of experience driving continuous improvement initiatives, like Six Sigma and Quality Function Deployment (QFD). Brenda received an M. S. in applied statistics from Worcester Polytechnic Institute and an M.S. in industrial and management Engineering from Rensselaer Polytechnic Institute. She has been an avid user of statistical software from SAS Institute since 1992.