Mohamed  joined the our Spatial Statistical Population Modelling (SSPM) team in 2024 to work on several projects, including GRID3 2023-25.

He gained a PhD and an MSc in Statistics from George Washington University, an MSc in Statistics from Cairo University, and a BSc in Statistics with a minor in Economics from Cairo University. Mohamed was actively involved in a project on COVID-19 that is funded as a supplement to the COBRE and in a project analysing the Behavioural Risk Surveillance Survey (BRFSS) using small area estimation. He has over 14 years of experience in applied statistics, holding various roles in international and national organizations such as the US Food and Drug Administration (FDA), Institute for Modeling Collaboration and Innovation (IMCI), SAS, Arriyadh Development Authority (ADA), and Intelliknowledge.

Mohamed has taught Statistics at George Washington University and Georgetown University, and receiving merit awards during his teaching tenure. His research focus includes parametric and nonparametric modelling, modelling of correlated data, spatial statistics, composite indicators, designing questionnaires, survey research, model comparison, misspecification, Bayesian inference, econometrics, biostatistics (clinical trials and genomic analysis), and applications of statistics in social sciences.

ORCID profile