Zeyad Kelani

Assistant Professor, Cairo University

Dr. Zeyad Kelani expertise lies in the domains of Big Data Analysis and Artificial Intelligence, with a specific focus on public policy, development, and financial modeling. His academic journey took the shape of the successful completion of his Ph.D. in Computational Analytics at Claremont Graduate University, USA in 2021, marking the inception of his commitment to data-driven solutions. Zeyad's academic foundation is solid, backed by a Master of Science in Applied Data Science from the USA and a dual Master of Arts in Comparative Politics and Society earned from the American University in Cairo and Tübingen University in Germany. Dr. Kelani's dedication to harnessing the power of data for societal and financial insights is reflected in his significant contributions to academia and research. He holds an impressive portfolio of authored peer-reviewed journal articles, book chapters, and academic papers that delve into advanced data analytics, machine learning, and predictive modeling within the realms of social and financial contexts. Notably, his expertise extends to the innovative utilization of audience, GPS, and location data for precise identification and targeted outreach. Before his current position, Zeyad served as a postdoctoral scholar at the Donald Bren School of Information and Computer Science at the University of California, Irvine. During this tenure, he assumed leadership of the data science team at the University of California Institute for Prediction Technology (UCIPT). In this pivotal role, he played an instrumental part in advancing AI and Big Data solutions for social and financial modeling. His contributions included collaborative efforts on NIH grants, data-driven strategies, and risk models designed to enhance patient identification and treatment.