Keynote and Plenary Speakers

Dr. Stefan H. Steiner is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo and he served as chair of this department from 2014-2022. His primary research interests include quality improvement, process monitoring, experimental design and measurement system assessment in the realms of business, industry, and healthcare. He has served on editorial boards for Journal of Quality Technology, Quality Technology and Quantitative Management, Annals of Applied Statistics, Technometrics, and Quality Engineering. He has also served as President of the Statistical Society of Canada’s Business and Industrial Statistics Section as well as Chair of the International Statistical Engineering Association. He is a Fellow of both the American Statistical Association and the American Society for Quality, he was the recipient of the 2021 ASA Donald B. Owen Award, and he received the 2023 ASQ Shewhart Medal.

Dr. Dave Campbell is a full Professor in the School of Mathematics and Statistics and the School of Computer Science at Carleton University. Academically, he runs a collaborative team researching inferential algorithms at the intersections of statistics with machine learning, computing, and applied mathematics to solve problems inspired by industry and government collaborations. He has co-authored discussion papers in Bayesian Analysis and the Journal of the Royal Statistical Society (series B) and been awarded over $3.5 million in research grants. Dave’s career path maintains a theme of Data Science leadership.  Most recently he spent two years leading a Data Science team at the Bank of Canada in projects relating to cybersecurity, forecasting banknote demand, understanding drivers of inflation, ensuring data privacy, and more. Before moving to Ottawa in 2019, Dave was a Professor at Simon Fraser University, where he led the creation of their BSc in Data Science. He was the inaugural President of the Data Science and Analytics Section of the Statistical Society of Canada and was a co-organizer of the Vancouver Learn Data Science Meetup (>5000 members).

Dr. L. Allison Jones-Farmer is the Van Andel Professor of Business Analytics at Miami University in Oxford, Ohio. Her research focuses on developing practical methods for analyzing data in industrial and business settings. She is currently the Editor-in-Chief of Journal of Quality Technology, is on the editorial board of Quality Engineering, and is a former Associate Editor for Technometrics. In addition to her research in industrial analytics, Allison enjoys helping organizations improve their analytics capability, developing innovative curricula, and teaching data science. Before joining Miami University, Allison was a Professor of Statistics and Analytics at Auburn University, where she held the C&E Smith chair. She received a B.S. in Mathematics from Birmingham-Southern College, an M.S. in Applied Statistics from the University of Alabama, and a Ph.D. in Applied Statistics from the University of Alabama.