Ammar Ammar
Data Modeler specialized in Data Modeling
Ammar, a professional with a dual academic background in pharmacy and computer science, pursued his PhD at Maastricht University, focusing on improving the reusability and interoperability of nanosafety data, bridging between the FAIR principles and domain-relevant community standards.
With several years of work experience, his expertise spans various areas, including data modeling & engineering, software development, machine learning, knowledge graphs, and semantic web technologies. Ammar places great importance on FAIR data and data management best practices while being motivated to form collaborations and disseminate knowledge across both academia and industry. At The Hyve, he contributes as a data modeler within the Data Collaboration and Integration team.
Outside work, Ammar enjoys hiking, biking and watching movies, cherishing quality time with family and friends.