W. John Braun

W. John Braun is a Professor in the Department of Computer Science, Mathematics, Physics and Statistics at the University of British Columbia Okanagan. He holds the rank of Professor within the Irving K. Barber Faculty of Science. His academic roles include former Head of the Department (2014) and Deputy Director of the Canadian Statistical Sciences Institute (CANSSI). Braun specializes in computational statistics with applications to fire science, statistical process control, and statistical education. He has contributed to methodologies in data sharpening and visualization, including the development of stochastic fire spread models and tools like the Data Visualization Laboratory. His teaching focuses on courses such as Modelling and Simulation, Predictive Modelling, and Data Visualization.

Braun earned his PhD in Statistics from the University of Western Ontario (1992), following MSc (1987) and BSc (1985) degrees from the University of Calgary. His research spans scientific problem-driven applications in psychology, biology, medicine, engineering, and physics, emphasizing smoothing and inference techniques in data visualization and process monitoring.

His professional network includes leadership roles in statistical science networks, such as the Rocky Mountain Data Science Network. Braun’s work integrates interdisciplinary collaboration, exemplified by projects like the Data Sharpening techniques for interval-censored data and contributions to the PROMETHEUS fire growth simulation model. His academic contributions bridge theoretical statistics with practical applications in environmental science and medical imaging.