Donald Estep


Director, Canadian Statistical Sciences Institute


Canada Research Chair in Computational Probability and Uncertainty Quantification 

Fellow of the Society for Industrial and Applied Mathematics 

University Distinguished Professor Emeritus, Colorado State University

Chalmers University Jubilee Professor 2013-14


Department of Statistics and Actuarial Science

Simon Fraser University



I am the Director of CANSSI and a Canada Research Chair (Tier 1) in the Department of Statistics and Actuarial Science at Simon Fraser University.


My research interests include uncertainty quantification for simulations of complex models, stochastic inverse problems, algorithms for efficient computation, and stochastic modeling of multiscale systems. My scope embraces theoretical analysis, development and implementation of algorithms, and application to scientific and engineering problems. I have close interdisciplinary collaborations with scientists and engineers in applications including ecology, materials science, detection of black holes, modeling of fusion reaction, analysis of nuclear fuels, hurricane storm surge forecasting, flow in porous media, and electromagnetic scattering.


I have extensive experience teaching mathematics and statistics courses, especially for engineering and science students. I have written several textbooks that reflect my ideas about learning. I am generally interested in learning and teaching, and have devised training and review programs for teaching for both graduate students and faculty.


In these pages, you will find information about my research and educational activities.

Far better an approximate answer to the right question, which is often vague, than the exact answer to the wrong question, which can always be made precise. - John Tukey


So never lose an opportunity of urging a practical beginning, however small, for it is wonderful how often in such matters the mustard-seed germinates and roots in itself. Florence Nightingale


You must understand that there is more than one path to the top of the mountain. Miyamoto Musashi


Where all thrive: Equity, Diversity, and Inclusion at Simon Fraser University

BET Software for Stochastic Inverse Problems