Derek Bingham was born in 1968 in Pointe Claire, Quebec. He lived in the Montreal region (from Beloeil to Dollard) while growing up, with a brief one-year stay in Hawaii. His academic trajectory includes a DEC at Champlain College in 1988 and a BSc in Applied Mathematics at Concordia University in 1991. After several co-op jobs that were entirely statistical in nature, he decided to pursue a MSc in Statistics at Carleton University where he received the Senate Medal in 1994 for his thesis work. Derek also worked full-time at Andersen Consulting from 1993-1995. He moved out west in 1995 to pursue his PhD studies at Simon Fraser University (SFU) under the supervision of Randy Sitter. He received his PhD from the Department of Mathematics and Statistics at SFU in 1999, winning the Governor General’s Gold Medal. After graduation he joined the Department of Statistics at the University of Michigan as an Assistant Professor. In 2003, he moved back to SFU as the Canada Research Chair (Tier II) in Industrial Statistics in the Department of Statistics and Actuarial Science.
Derek’s research interests lie in the area of the design and analysis of experiments in the physical and engineering sciences. He has made contributions in the development of statistical methodology for the design and analysis of experiments on complex computer simulators, fractional factorial designs for multi-stage experiments and optimal robust parameter designs for product variation reduction. Much of his research has been motivated through scientific collaborations. For example, his work on fractional factorial split-plot designs arose from interactions with scientists in the forest industry. Recent work on computer experiments and uncertainty quantification is the direct result of collaboration with scientists at Los Alamos National Laboratory, the US National Center for Atmospheric Research and the University of Michigan’s Center for Radiative Shock Hydrodynamics. A common theme in this work is developing a framework for assessing the uncertainty in predictions made from mathematical or computer models for physical processes.
During his career, Derek has published over forty papers in peer-reviewed journals and other refereed contributions. His work has appeared regularly in top-tier journals related to statistics and experimental design, including the Annals of Statistics, the Journal of the American Statistical Association, Biometrika and Technometrics. He co-authored a paper on variable selection in computer experiments that won the 2006 Jack Youden Prize for best expository paper published in Technometrics. He has also published many papers in high-impact scientific and engineering journals focusing on the application of statistical design methods. He plays important roles in the statistics community in Canada and internationally, being Associate Editor for several journals, and being involved in research council and SSC activities including being on the Development Committee for the Canadian Statistical Institute.
Derek Bingham will present an overview of his work in a special session at the 41st Annual Meeting of the Statistical Society of Canada to be held in Edmonton, Alberta, May 26 to 29, 2013.
The CRM-SSC Prize 2013 is awarded to Derek Bingham, Department of Statistics and Actuarial Science, Simon Fraser University, for his outstanding contributions in the area of the design and analysis of experiments in the physical and engineering sciences, specifically in the development of statistical methodology for complex computer simulators, fractional factorial designs for multi-stage experiments, and for optimal robust parameter designs for product variation reduction.