Languages: English, Arabic, French
email: lastname dot m at gmail
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Education
Education
PhD in Statistics (2017), McGill University, Canada,
under the supervision of David A. Stephens.
Master of Science in Mathematics (2012), Concordia University, Canada.
Bachelor of Arts in Statistics (2010), Concordia University.
Appointments
Appointments
2024 - present: Assistance Professor in Statistics & Data Science. Carleton University, Canada
2023 - 2024 Research associate at the Alan Turing Institute, London UK.
- Co-led the AI for numerical weather prediction program.
2022 - 2023 NSERC Postdoctoral Fellow at the Department of Statistical sciences, University of Toronto.
2019 - 2022 Data Scientist at the ETA & Routing Team, Lyft Inc, San Francisco, California.
- Led the development of traffic models to achieve more than 15% improvement in ETA metrics.
2019 - 2019 NSERC Postdoctoral Fellow at the Department of Statistical sciences, University of Toronto.
2018 - 2019 Postdoctoral Fellow at the Quebec Institute for Learning Algorithms (MILA) and the Department of Decision Sciences at HEC Montreal.
Reviewer
Reviewer
Bernoulli Journal (2024)
Consultancies
Consultancies
2019 - 2020 Nuclear Agency of Canada/McGill under supervision of Professor David A. Stephens.
Contributed to the development of a Bayesian computational framework utilizing MCMC for quantifying the variability of system trips in a CANDU nuclear reactor.
This project, commissioned by the Canadian Government, is now integrated into the Canadian Nuclear Safety Commission and serves as a vital assessment tool for nuclear reactor strength.
2012 - 2018 UNESCO Institute for Statistics.
Led the development of the initial methodology for the Mean Years of Schooling indicator, a key component of the globally recognized UNDP Human Development Index.
This is a multi-year collaboration that resulted in a methodology, a software and a dateset, that are continuously in use.
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