Wael has over 15 years of academic and industry experience in data analytics, optimization, and machine learning. He holds a PhD in Operations Research and Optimization from Technological University Dublin (TU Dublin), an MSc in Operations Research, and a first-class honours degree in Computer Science from Cairo University.

Wael’s research focuses on developing data-driven, transparent, and reliable solutions to support decision-making in complex and uncertain environments. His expertise spans machine learning, predictive and prescriptive modelling, explainable AI, simulation and optimization, with applications across healthcare, ICT, and financial services.

He has extensive experience leading and managing research and industry projects. He is a Principal Investigator at the EI/IDA-funded CeADAR Centre for Applied Data Analytics and AI, at the Explainable AI Group (XAG), and formerly at TU Dublin’s 3S Group, where he headed the healthcare analytics track. Through these roles, he has secured competitive funding, directed cross-disciplinary research teams, and collaborated with both industry and public sector partners to deliver impactful, real-world solutions.