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Speaker Bios

Our speakers are listed here in alphabetical order. For a full agenda of when they're speaking, click "Agenda" above. For the full abstract of their talk, click "Abstracts."


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Hank Anderson

Vice President of Software Development, Stat-Ease, Inc.

Hank joined Stat-Ease in 1998 and became Vice-President in 2020. He has spent the last two decades putting his expertise to use in the development and refining of Stat-Ease 360 and Design-Expert® software. 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's degree in Computer Science from Metropolitan State University, St. Paul in 2004.


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Mark Anderson

Engineering Consultant, Stat-Ease, Inc.

Mark J. Anderson, PE, CQE, MBA, is an Engineering Consultant at Stat-Ease, Inc. Prior to joining the firm, he spearheaded an award-winning quality improvement program for an international manufacturer, generating millions of dollars in profit. He offers a diverse array of experience in process development, quality assurance, marketing, purchasing, and general management. Mark is also 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 and has published numerous articles on design of experiments (DOE). He is also a guest lecturer at the University of MN Chemical Engineering & Materials Science department and the Ohio State University Fisher College of Business.


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Dr. Martin Bezener

President/Director of R&D, Stat-Ease, Inc.

Martin joined Stat-Ease in 2014 and was named President in 2020. Since then he has been putting his skills and knowledge to use in the development of Stat-Ease 360 and 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.

Besides DOE expertise, Martin is skilled in Bayesian statistics and statistical modeling, and statistical computing. Martin graduated with a bachelor’s degree in Mathematics from the University of Loyola, Chicago. He earned his PhD in Statistics in 2015 from the University of Minnesota.


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Dr. Érika Cristina Ashton Nunes Chrisman

Full Professor, Organic Process Department, Chemistry School, Federal University of Rio de Janeiro, Brazil

Érika C.A.N. Chrisman, Chemical Industrial, DSc, has 28 years of experience in the field of DOE and Organic Processes. She is a Full Professor in the Department of Organic Processes at the Chemistry School and Director of Quality and Vice coordinator of the Professional Master's Degree in Sustainable Technologies at the Federal University of Rio de Janeiro (UFRJ). She is a founder and Head of the laboratory for development and optimization of organic processes, called “DOPOLAB,” belongs to the CENPES/Petrobras Analysis Network and is accredited by ANP. Her research group at DOPOLAB has focused on chemical / technological development involving the application of organic chemistry concepts, and design of experiments associated with the optimization of organic processes working on projects with companies. She is the author of more than 100 scientific works, and she has overseen more than forty master's and doctoral theses and final projects. These projects included development of evaluation methodologies and chemical characterization of petroleum and its derivatives; application of design of experiments (DOE) in the development and optimization of products like drugs, petrochemicals and additives and segregation; and minimization of organic effluents with the evaluation of the viability of component recovery.


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JoAnn Coleman

CMC & Research Statistics Leader, Spark Therapeutics

JoAnn Coleman is the CMC & Research Statistics Leader for Spark Therapeutics, a gene therapy company based in Philadelphia, PA. JoAnn holds an undergraduate degree in Chemistry and a master’s in Applied Statistics. JoAnn has been in the pharmaceutical industry for 32 years, the first 30 of which she spent working in both the laboratory and as a non-clinical statistician supporting various modalities at GSK. In January of 2021, JoAnn made the switch to Spark to build their non-clinical statistics department. JoAnn enjoys training and enabling scientists to think statistically about their experiments and analysis. Design Expert is the tool of choice for educating, designing and analyzing designs at Spark.


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John "Jay" Davies, Jr.

Research Physicist, United States Army Chemical Biological Center

Mr. Davies received a bachelor’s degree in Physics from the University of Delaware and started his career as a process engineer for a solar cell “start-up” in Newark, DE. Over the next 15 years he managed Process Optimization/Yield Improvement efforts as the company grew into a major independent solar cells manufacturer. Through the use of applied analytics and statistical process control the team realized $3.6 Million annual savings.

Mr. Davies then spent 5 years with a ceramic composites manufacturer where he led a Process Optimization/Yield Improvement program that resulted in a sustained $11.8 Million savings per year. The company wide effort featured Six Sigma techniques to bring together Senior Management, R+D SMEs, Production Managers, Engineers, Production Operators, and Maintenance Technicians. Statistical analysis tools and predictive modeling methods resulted in solutions as simple as the “$5 O-ring” that saved $400K per month. These yield improvements allowed for 1,000s of additional ESAPI body armor tiles to be delivered to the Warfighters per month.

For the past 12 years, Mr. Davies has been a Research Physicist with the U.S. Army DEVCOM Chemical Biological Center at Aberdeen Proving Grounds, MD. He is a member of the Decontamination Sciences Branch which specializes in developing techniques/chemistries to neutralize chemical warfare agents. He is dedicated to applied statistical analysis ranging from multi-laboratory precision studies to Design of Experiments (DOE). The Decontamination Sciences Branch has been integrating DOE methods into many of their chemical agent decontamination research programs. Specifically, over the past several years Mr. Davies has worked with researchers to develop Mixture-Process DOE techniques to simultaneously model the influences of formulation components and process conditions which has greatly accelerated the optimization process for decontamination formulations. The introduction of DOE methodology has reduced sample sizes by 70-90% while at the same time allowing for more variables to be included in the studies which has resulted in many unexpected scientific discoveries.


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Arved Harding

Senior Associate Data Scientist, Eastman Chemical Company

Arved Harding is a senior associate data scientist at Eastman Chemical Company in Kingsport, TN. He has used statistical tools for 34 years to help scientists and engineers solve problems in R&D, manufacturing, technical service, and analytical laboratories. As a member of Eastman’s Applied Statistics Group, Arved has supported many areas of the company including polymers, films, coatings, adhesives, and cellulose esters. Designing and analyzing experiments is one of many toolsets he has utilized. Arved has been a user of Design Expert® for much of his career and as a member of Eastman’s Applied Statistics Group, helped develop and teach classes in designed experiments employing Design Expert® as the hands-on tool for the participants.

Arved is an ASQ Certified Quality Engineer and has been an active board member of the local section of ASQ for over 32 years. He enjoys sharing his knowledge and experiences with others. He loves spending time with his wife and two married adult boys and volunteering in the community.


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Greg Hutto

Wing Operations Analyst, United States Air Force 96th Test Wing

Mr. Gregory Hutto is currently the sole OA in the 40th Flight Test Squadron, part of the 96th Test Wing. Previously, he served for 7 years as the Wing Operations Analyst for AFMC’s 96th Test Wing, Eglin Air Force Base Florida. As Wing OA, he was responsible for embedding designed experiments as the principal test method for several hundred 96 Test Wing tests each year. In cooperation with AFIT, Greg designed and teaches an extensive series of short courses in statistical experimental design open to all testers in the DOD. Prior to his AFMC work, Mr Hutto served for 6 years as the original Chief Ops Analyst for ACC’s 53d Wing, responsible for the technical excellence of more than 250 tests per year, spanning the entire range of USAF tactical combat systems. In the 53d Wing, he was mentor and functional lead for more than 70 OAs and 250 engineers. As a LtCol in the USAF Reserves, he served as senior military advisor to AF Operational Test & Evaluation Center Test Support Director at Kirtland AFB, New Mexico, and as special advisor for test design to the AF Flight Test Center commander at Edwards AFB, California. He taught experimental design at the USAF Test Pilot School 2004-2007. Prior to his government service, Mr Hutto was the Chief Scientist for Ops Research in Jacobs Inc. 600-scientist TEAS Contract. He has also done substantial work in systems engineering, studies and analysis, nuclear survivability, and military exercise design and evaluation.

Mr. Hutto is a distinguished graduate from the US Naval Academy in Operations Research and holds a Master’s in the same field from Stanford University. Over the past 35 years, he has served in nearly every branch of test and evaluation from basic laboratory science to joint operational field testing. He would like to formally repent of his 10 years of testing without the benefits of the principles of well-designed experiments. As a foremost proponent of the principles of experimental design, he seldom misses an opportunity to encourage their adoption and use.

His professional service includes Working and Composite Group Chairs for MORS, MORSS Tutorials Lead (4 years), Greg was organizer of two MORS Special Sessions (New Sciences and Test and Analysis Techniques). He served on the MORS Board of Directors 2007-2011 and has authored more than 40 conference papers and 6 peer-reviewed journal articles. He has taught hundreds of short courses in experimental design. Mr Hutto is an adjunct professor in Industrial and Systems Engineer for the University of Arkansas where he teaches Quality Management, Project Management, and Operations Research. Among other accolades, he holds the Soren Bisgaard Award for most influential paper published in Journal of Quality Engineering and the Civilian Exceptional Service Decoration, the highest nonvalorious civilian recognition granted by the Secretary of the Air Force.

Mr. Hutto is married to the former Debra Jean Steinkerchner of Nashville, Tennessee and they have two children, Daniel and Ariel. He is inordinately proud of Dr. Debra Hutto, (her sixth earned degree), and never tires of being referred to as “Daniel’s (or Ariel’s) Dad.”


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Lou Johnson

Consultant, JMC Data Experts Inc

Lou Johnson brings over 30 years of process engineering and statistical consulting experience to his role as a Consultant for JMC Data Experts Inc. As a Master Black Belt for Corning, Inc., he led a Six Sigma deployment that significantly increased productivity and reduced costs. Since then, as a Minitab trainer, he has consulted and trained with over 100 companies from Arrow to Xerox with a focus the biotechnology and medical device companies such as Becton-Dickenson, LifeCell, Orasure, Salimetrics, Cubist Pharmaceuticals, Intuitive Surgical and Johnson & Johnson. His current work focuses on DOE training for graduate programs in Bioengineering and the Life Sciences for universities across the US. Lou earned B.S. degrees in Chemistry, Education, and Chemical Engineering from the University of Illinois. After ten years of manufacturing experience, he returned to school to complete his M.S. in Statistics from Pennsylvania State University.


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Andrew Macpherson

Managing Director, Prism Training & Consultancy

Andrew Macpherson has over 20 years of software development experience, and enjoys the most challenging data management, statistical visualization and analysis problems. As Managing Director of Prism Training & Consultancy, he has executive responsibility for the business; he also maintains the company’s statistical software tools, curates their library of training materials, and is a Course Leader for a number of their online and on-site workshops.

Andrew loves using, adapting and making software – and his programming, data management, analysis and visualisation skills are well suited to a wide range of
useful applications.

He has produced countless macros, scripts, automations and programs for more than 20 years; these greatly assist Prism’s clients, and allow the other Prism team members’ ideas to become valuable software tools. Andrew also plays a key role in moving an ever-expanding range of statistical tools to Prism's website, making them freely available to everyone.


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Paul Mullenix

Consultant, Statistical/Quality Methods and Six Sigma for Manufacturing, Research and Service Industries

Paul has a wide range of experience with 15 years in semiconductor industries serving various roles as Senior Staff Statistician, Director of Quality & Reliability and Director of Customer Service; 11 years in international statistical consulting based in Malaysia; and most recently, over 7 years as Director of Global Statistics and Six Sigma for Entegris supplying materials into the semiconductor, industrial and life sciences markets. Before joining industry, he was Assistant Professor of Statistics and Mathematics at the University of North Florida for 3 years.

From using Six Sigma within a company, to training and coaching both internally and as an external consultant, Paul has worked with over 25 companies to facilitate breakthrough improvements and achieve business goals using the Six Sigma methodology. He has taught and coached all levels from Yellow to Green to Black to Master Black Belts and Management spanning R&D (DFSS), manufacturing and service industries. He takes pride in finding novel and fun ways to aid the learning experience for engineers, scientists, managers and even non-technical staff. Paul believes that learning statistical methods is best done through a passionate statistician who has the academic background to know why the methods work coupled with the industrial experience to know how the methods work. Paul teaches not only a full range of Six Sigma courses, but also basic to very advanced courses in MSA, SPC, Data Mining, DOE, Reliability and other statistical and quality topics. Many of these courses cover aspects of industrial applications which are not found in typical textbooks.

Innovative consulting solutions has been a hallmark of his career with new methods developed for short-run SPC, spares simulation, destructive measurements, effective resolution, particle shedding models, accurate methods for count estimation by weight, censored data, robust zero-inflated techniques, unique specification setting methods, new verification and validation solutions, and even a method to ensure better detection of fever in Covid-19 entrance screening.

Paul holds a Ph.D. in Statistics from the University of Florida with research area in directional data. He has held Vice President and Treasurer offices in the Florida Chapter of the American Statistical Association and published over 15 articles. Paul is married to a wonderful statistician with four statistically significant children.


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Dr. Paul Nelson

Technical Director, Prism Training & Consultancy

An experienced statistical consultant, trainer and technical director, Dr. Paul Nelson has provided expert statistical training, consulting and software to scientists, engineers, formulators and process developers in discovery, R&D and manufacturing. Paul has accumulated skill in developing and delivering statistical methods, training and software solutions tailored to the precise needs of a variety of application areas to ensure the science and the scientists involve realize their full potential.

Paul is a keen advocate of experimental oriented design: designing experiments to suit the experiment and not the other way around: “I love it when a (experimental) plan comes together!”. Design oriented analysis naturally follows: extracting the information contained within a carefully crafted and suitably structured designed data set. Making the best use of pictures or graphs to tell the story, and then supporting their inter-ocular results with the most appropriate statistics and statistical tests – to aid understanding rather than to confuse or to detract the experimental goals – is always his primary goal.

Data exploration and looking for patterns in data; mining for those golden nuggets of information; extracting and displaying them for folks to see, to understand and to learn from. That’s what gets him excited.


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Dr. Randall Niedz

Research Geneticist, USDA Agricultural Research Service, U.S. Horticultural Research Laboratory

Randall Niedz is a Research Geneticist with the United States Department of Agriculture and works at the U. S. Horticultural Research Laboratory, Ft Pierce, Florida, in citrus variety development utilizing classical and molecular genetics, and genomics. Dr. Niedz received his BS in Plant Breeding from The Pennsylvania State University, an MS in Plant Breeding from Michigan State University, and his PhD in Plant Breeding and Genetics from Michigan State University. Dr. Niedz’s research expertise is in vitro plant cell tissue, and organ culture systems for plant breeding and genetic applications. Dr. Niedz collaborates and publishes with scientists around the world. He is an Academic Editor for the journal PLoS ONE, an Associate Editor for the In Vitro Society’s journal, In Vitro Cellular and Developmental Biology – Plant, and serves as a reviewer for many of the plant science journals. Dr. Niedz’s current research is the development of conceptual and statistical experimental design approaches for complex biological systems including how to treat mineral nutrient ions as independent statistical factors in in vitro systems, and high-throughput screening approaches to identify treatments to effectively manage citrus greening disease, huanglongbing.