Tony Desmond
Professor Emeritus, Statistics
College of Computational, Mathematical and Physical Sciences, Department of Mathematics & Statistics
Research Areas
- Survival Analysis
- Stochastic processes
- Statistics in finance
- Statistical learning (Big Data)
- Reliability modelling
- History of statistics
Education and Employment Background
Dr. Tony Desmond received his PhD from the University of Waterloo in 1982. He joined the Department of Mathematics and Statistics at the University of Guelph in 1983, where he is now a full professor. Desmond has held various Visiting Professor positions around the world, including the University of Odense, Denmark; Stanford University, USA; the University of Alberta, Canada; and University College Cork, Ireland. He is a Fellow of the Royal Statistical Society, the Statistical Society of Canada, the Irish Statistical Association, and the International Society for Bayesian Analysis.
Research Themes
Desmond’s research interests are in applications of statistics in Health (e.g. Survival Analysis) and Wealth (e.g. Financial Statistics). Together with graduate students and collaborators, both Canadian and International, he explores novel models for survival of individuals both in clinical settings and for observational data. Many of these models can also be applied to reliability engineering and finance. He is also interested and active in exploring extensions of these models to Big Data, which presents major computational and theoretical challenges.
Highlights
- Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery grant, 2013
- Royal Statistical Society Significance Cryptic Prize, 2013
- Fellow, Royal Statistical Society, 2013
- Editorial Review Board Member, International Journal of Statistics and Systems, 2013-2018
- Editorial Review Board Member, Journal of Informatics and Mathematical Science, 2013-2018