Osama Abdelhay, Ph.D., is an Assistant Professor of Data Science at Princess Sumaya University for Technology in Amman, Jordan. He is a senior data scientist and biostatistician with more than 16 years of experience in statistical modelling, predictive analytics, machine learning, biostatistics, epidemiology, and humanitarian data science.

Dr. Abdelhay holds a Ph.D. in Applied Statistics and Biostatistics and a Master’s degree in Biometry from the University of Reading, United Kingdom, in addition to a Bachelor’s degree in Applied Statistics from Yarmouk University, Jordan. His academic work includes teaching undergraduate and postgraduate courses in computational statistics, data visualisation, categorical data analysis, probability, and statistics for data science. He has supervised numerous master’s theses and student projects, particularly in humanitarian, medical, and public-health contexts.

Alongside his academic role, Dr. Abdelhay has served as a consultant data scientist, biostatistician, and statistician for several international organisations, including UNICEF, UNHCR, UN-ESCWA, and Data-Pop Alliance. His work has covered female genital mutilation, child marriage, refugee vulnerability, accountability to affected populations, migration data, performance scorecards, and the use of non-traditional data sources for socio-economic estimation during crises.

His research interests include statistical modelling, interpretable machine learning, epidemiology, predictive modelling, systematic reviews, meta-analysis, and the application of data science to health and humanitarian decision-making. He has published in several peer-reviewed journals.