Shadi Danhash holds a B.Sc. in Information Technology Engineering (Artificial Intelligence specialization) from Damascus University, Syria, and an M.Sc. in Computer Science (Artificial Intelligence) from Eötvös Loránd University (ELTE), Hungary. During his academic journey, Shadi worked on a range of AI and machine learning problems, with applications spanning software systems and the medical domain. Before joining CMCC, he gained experience in various areas of software technology, including mobile applications, backend systems, and autonomous systems.
Shadi joined CMCC in February 2025, where he contributes to research and development activities for drought monitoring and forecasting within the ARCA project, focusing on Machine Learning and Artificial Intelligence solutions.