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. The lectures are usually held on a Tuesday or Thursday in Spring, preferably in February. 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.
This Year's Abstract & Speaker:
Christopher Breen is a Senior Research Scientist in Manufacturing Statistical Support, within Technical Services/Manufacturing Science at Eli Lilly and Company. He currently supports the commercialization of drug substances worldwide. In that role he is involved in the technology transfer of the biotechnology pipeline, analytical method support, and the implementation of statistical methodologies in manufacturing. Prior to joining Eli Lilly and Company, he worked in the Semiconductor industry for Samsung Austin Semiconductor and Micron Technology in various roles from Operator to Quality Engineering Manager. Christopher has a Bachelor’s degree in Mathematics and Secondary Education from Augustana College in Rock Island, Illinois and a MS in Statistics from the University of Iowa.
Extreme Quantile Determination for Manufacturing Process Parameters
Monitoring the control and capability of process parameters is a continual and mammoth task for today’s manufacturers. The importance of simple, efficient, and automated approaches cannot be overstated. Paramount in this endeavor is the determination of extreme quantiles. I will review approaches for determining these quantile from the last 25 years of literature, as well as current usage at Eli Lilly and Company. A number of candidate approaches will be carried forward into a simulation to look at their performance against a variety of distributions.
Making Things- Manufacturing Statistics in the 21st Century (Lunch Talk)
The Statistics profession has changed greatly in the 26 years since I graduated. I’ll briefly discuss some of the similarities and differences, as well as the surprising outlook for today’s graduates. I will discuss what graduates can expect in the manufacturing arena, with an emphasis on valuable course work, job roles, and future opportunities. There should be plenty of time for questions.
To see Christopher Breen's Presentation, please click here.