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Mohamad Elmasri is an Assistant Professor in the School of Mathematics and Statistics at Carleton University. He holds a PhD in Statistics from McGill University, where his research focused on statistical network analysis and graphical models. His expertise lies at the intersection of statistical theory, computation, and machine learning. Mohamad has significant industry experience, having worked as a Data Scientist at Lyft, where he led initiatives to improve traffic prediction models. Additionally, he collaborated with the Nuclear Agency of Canada to support the development of a Bayesian computational model aimed at measuring variability in CANDU nuclear reactor trip systems. He has also served as a consultant for the UNESCO Institute for Statistics, where he led the development of a globally standardized Mean Years Schooling indicator, which is a crucial component of the UNDP Human Development Index. Mohamad's research interests include Statistics and Data Science, as well as the application of machine learning techniques to real-world problems.
Carleton University • Ottawa
Engaged in teaching and research in Statistics and Data Science.
Lyft •
Led initiatives to improve traffic prediction models.
University of Toronto •
Engaged in statistical research and methodology.
HEC Montréal •
Worked on interdisciplinary projects involving decision sciences and AI.
Includes MEng and MASc options.