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2018 Industry Day

Bill Myers
Dr. William Myers
Principal Statistician at the Proctor & Gamble Company
The Proctor & Gamble Company
Caldwell Hall Room 102

In order to enhance professional relationships between academia and industry, the Statistics Department at the University of Georgia holds an annual "UGA Statistics Club Industry Day." This event helps the advancement of cutting edge research in statistics by bringing together a senior researcher from industry and students and faculty from academia. Speakers deliver two presentations: a technical afternoon research lecture (as a part of our regular seminar series) and a less technical after-lunch talk followed by a question-and-answer session with the students.

About the Speaker



Principal statistician with 20+ years of experience, who has supported many areas of Product Development (e.g., Model & Simulation, Package Development and Process Development) for many of Procter & Gamble's Billion Dollar Brands. Collaborates closely with engineers and scientists on key projects to improve product innovation and productivity. Bill leads the Corporate Global Statistics Training at Procter & Gamble. He has led the development of many statistics training courses and is one of the lead instructors. These training courses have increased the statistics and analytics skills of scientists and engineers at Procter & Gamble. In addition, Bill remains actively involved with collaborative research, which has provided significant value to the company. He has been invited to present talks at technical conference (e.g., Joint Statistical Meetings, Fall Technical Conference, Spring Research Conference) and at university department seminars.

Specialties: Design of Experiments, Computer Experiments, Predictive Modeling, Response Surface Methodology, Statistics Training & Education, Statistical Process Control, Statistical Based Sampling, JMP®, SAS®


Principal Statistician
Procter & Gamble
Dec 1991 – Present

Adjunct Professor
University of Cincinnati
Jan 1993 – Mar 1998


Virginia Commonwealth University
1987 – 1991

Radford University
BS in Statistics
1982 – 1986
Activities and Societies: Kappa Mu Epsilon (Mathematics and Statistics Honor Society) Dean Scholar (College of Arts and Sciences)


Caldwell Hall Room 102 @ 3:30pm

A Sequential Maximum Projection Design Framework for Computer Experiments with Inert Factors

Many companies use computer simulations in place of physical experiments to speed the development of new products and processes. The physical creation and testing of prototypes can be very prohibitive in terms of time and cost. Computer simulations can often be complex and take hours to complete one run.  Computer experiments, which are used to study computer simulations, often involve large numbers of input factors, but some of them are inert. This talk will discuss a new sequential design framework that can accommodate multiple responses and quickly screen out inert factors so that the final design is space-filling with respect to the active factors. By folding over Latin hypercube designs with sliced structure, this sequential design can have flexible sample size in each stage and also ensure that each stage, as well as the whole combined design, are all approximately Latin hypercube designs. The sequential framework does not require prescribing the total sample size and, under the presence of inert factors, can lead to substantial savings in simulation resources. Even if all factors are important, the proposed sequential design can still achieve a similar overall space-filling property compared to a maximin Latin hypercube design optimized in a single stage.


Brooks Hall, Cohen Room 434 @ 12:00pm

What is it Like to Be a Statistician in Industry: A P & G Perspective

This presentation will discuss what it’s like to be statistician (or data scientist or similar role) in industry. First, will be a brief history of Procter & Gamble and the current statistics organization at P&G. Then I will share the various job opportunities that are available for new grads and the types of skills that employers want. Finally, I will discuss the types of technical challenges that statisticians at Procter & Gamble encounter. We will be sure to allow plenty of time for questions and discussion. 


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