Joseph Voelkel

Principal Data Scientist

Dr. Joseph Voelkel has taught courses in experimental design, regression analysis, reliability statistics, statistical computing, theory of statistics, multivariate analysis, statistical process control, and capstone.

Prior to joining FLX, Joseph’s consulting and training through RIT have included a wide range of clients, including those in the films, optics, electronics, resin, plastics, automotive, laser, pharmaceutical, and bearing industries. The list includes Bausch & Lomb, Borden, DuPont, General Motors, ITT, Mobil, Motorola, Tenneco, and Xerox. His focus ranges from explaining fundamental statistical methods and mentoring Six-Sigma-project teams to teaching advanced statistical techniques and developing novel statistical methods to solve client-specific problems.

Joseph Voelkel holds a Ph.D. degree in Statistics from the University of Wisconsin-Madison, and an M.S. degree in Industrial Engineering/Management Sciences from Northwestern University. He has published more than 45 peer-reviewed journal publications and technical reports.

Recent Publications:

Voelkel, J.G. (2019). The Design of Order-of-Addition Experiments, Journal of Quality Technology, 51, 230-241.

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