Mohamed Elmasri
Assistant Professor of Statistics and Data Science
| Phone: | 613-520-2600 x X2140 |
| Email: | mohamadelmasri@cunet.carleton.ca |
| Office: | 5249 HP |
| Website: | Browse |
Mohamad is an Assistant Professor of Statistics and Data Science at Carleton University (Canada). Previously, Mohamad was a Research Associate and Science Lead at the Alan Turing Institute, where he contributed to the AI for Numerical Weather Prediction (AI4NWP) programme. Mohamad also held positions at the University of Toronto, Department of Statistical Sciences as an NSERC postdoctoral fellow and as a postdoctoral fellow at HEC Montréal Department of Decision Sciences and Quebec Artificial Intelligence Institute (MILA).
Mohamad earned a PhD in Statistics from McGill University, under David Stephens, with research focusing on statistical network analysis and graphical models. His expertise lies at the intersection of statistical theory and computation, machine learning, and network analysis.
In addition to academic roles, he has significant industry experience, including as a Data Scientist at Lyft, where he led initiatives to improve traffic prediction models. He collaborated with the Nuclear Agency of Canada to support the development of a Bayesian computational model to measure the variability of system trips within a CANDU nuclear reactor. Moreover, he was a consultant with the UNESCO Institute for Statistics, Montreal (QC), where he led the development of a globally standardized Mean Years of Schooling indicator as a crucial component of the UNDP Human Development Index (HDI).