Doctor of Philosophy in Statistics. University of Western Ontario. Supervisors: Dr. R. Kulperger and Dr. D.A. Stanford. Thesis title: Stochastic Models Applied to Ontario Lightning and Wildfires. June 2007.
Masters of Mathematics in Statistics. University of Waterloo. Supervisor: Dr. S. Drekic. October 2002.
Bachelors of Science (Honours, with distinction) in Statistics and Actuarial Science. University of Western Ontario. June 2001.
Accredited as a Professional Statistician (P.Stat. #140) by the Board of Directors of the Statistical Society of Canada. October 2012.
Assistant Professor (Tenure Track) in the Department of Mathematics at Wilfrid Laurier University. July 2009 - present.
Postdoctoral Fellow, jointly between the Faculty of Forestry at the University of Toronto and the Department of Statistics and Actuarial Science at Simon Fraser University. January 2007 - June 2009.
Lecturer in the Department of Statistics and Actuarial Science at the University of Waterloo. May - August, 2003.
Lecturer in the Department of Mathematics at Wilfrid Laurier University. September 2002 - June 2003.
A Brief Description of Who I Am and What I Do
I am a statistical scientist, accredited as a Professional Statistician (P.Stat.) by the Statistical Society of Canada. My primary research area is environmetrics (the quantitative study of environmental problems) and my current research program focuses on forest fire science and forest fire management. My research is highly collaborative: I work closely with other statisticians, operations researchers, computer scientists and ecologists to study real world problems that investigate the science underlying forest fires and fire behaviour, and I try to integrate that knowledge into tools that fire management can use for decision support. I also collaborate with individuals from provincial and federal agencies. For example, a spatio-temporal model for forecasting people-caused forest fire risk I developed in collaboration with D. Martell (Toronto, Forestry) and C. McFayden (Ontario MNR) is being field tested in a region of Ontario and we hope to expand this to a set of provincial-wide scale models.
However, my main research interests are much broader. I have research interests in risk modelling and actuarial science, water quality, health care, statistics education, quality control, operations research and queueing theory. I find analysing large, complicated data sets both challenging and rewarding and I enjoy working collaboratively with researchers from other disciplines.
I also take great pride in teaching, both as an instructor and as a supervisor. I have taught courses at all levels, from large, first-year undergraduate courses to directed studies graduate courses. I am a dedicated and patient supervisor, who endeavours to bring out the best of each of my students. When teaching and supervising I emphasize that statistics is a broad and interesting discipline, full of many unique and challenging fields, but also that statistical science is more than just theory: the ability to make sense of data through exploratory analyses, stochastic modelling and inference is a skill that is highly sought after in a broad array of rewarding careers.