Patrick J. Whitcomb, MS
Pat is the founding principal of Stat-Ease. Before starting Stat-Ease, he worked as a chemical engineer, quality assurance manager, and plant manager. Pat co-authored Design-Ease® software, an easy-to-use program for design of two-level and general factorial experiments and Design-Expert® software, an advanced user's program for response surface, mixture, and combined designs. Four nearly four decades, he has consulted and shared his expertise on the application of design of experiments (DOE) and other statistical methods.
Pat has also co-author the books, DOE Simplified: Practical Tools for Effective Experimentation, 3rd Edition, RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, 2nd Edition, and Formulation Simplified: Finding the Sweet Spot through Design and Analysis of Experiments with Mixtures. In addition, he has written many articles on design of experiments, which have been published in journals and other periodicals.
In 1982, Pat received Minnesota’s Young Chemical Engineer of the Year award. In 2013, he received the Charles W. Britzius Distinguished Engineer (from the Minnesota Society of Professional Engineers and the Minnesota Federation of Engineering, Science and Technology Societies). He is on the advisory committee of the University of Minnesota’s School of Statistics.
Pat received his Bachelor’s and Master’s Degrees in Chemical Engineering from the University of Minnesota.
Mark J. Anderson, PE, CQE, MBA
In his role as General Manager, Mark offers a diverse array of experience in process development, quality assurance, marketing, and purchasing. He is the lead author of three books, DOE Simplified: Practical Tools for Effective Experimentation, 3rd Edition, RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, 2nd Edition, and Formulation Simplified: Finding the Sweet Spot through Design and Analysis of Experiments with Mixtures. Mark also has published numerous articles on design of experiments.
Prior to joining Stat-Ease, he spearheaded an award-winning quality improvement program for an international manufacturer, generating millions of dollars in profit. Mark frequently guest lectures at the University of Minnesota Chemical Engineering & Materials Science department and the Ohio State University Fisher College of Business. He is both a Professional Chemical Engineer (PE) and Certified Quality Engineer (CQE).
Mark received his Bachelor’s degree in Chemical Engineering and his MBA from the University of Minnesota.
Martin Bezener, PhD
Director of R&D/Principal
Martin first joined Stat-Ease in 2012. Since then he has been putting his skills and knowledge to use in the development of Design-Expert® software. He also does consulting projects and teaches Stat-Ease workshops on DOE. In addition, Martin co-authored the book Formulation Simplified: Finding the Sweet Spot through Design and Analysis of Experiments with Mixtures.
Prior to joining Stat-Ease, Martin spent a year working on a wide variety of projects at the University of Minnesota’s statistical consulting center. He also taught undergraduate-level statistics for several years. In addition to DOE expertise, Martin is skilled in Bayesian statistics and statistical modeling. In 2018 he was runner up for Outstanding Presentation at the Joint Statistical Meetings.
Martin graduated with a Bachelor’s degree in Mathematics from the University of Loyola, Chicago. He earned his PhD in Statistics from the University of Minnesota.
Hank joined Stat-Ease in 1998. He has spent the last two decades putting his expertise to use in the development and refining of Design-Expert® software. He is the son of Mark Anderson—carrying on a family tradition at Stat-Ease! He is also the lead developer of dexpy, an open source Python module for doing design of experiments: https://github.com/statease/dexpy.
Hank graduated with a Bachelor of Science degree in Computer Science from Metropolitan State University, St. Paul in 2004.