Remzi Celebi (R.)
Remzi Celebi is an Assistant Professor at Institute of Data Science at Maastricht University. His research lies at the intersection of Responsible AI, knowledge representation, and data curation, with a focus on addressing real-world challenges in health and life sciences. His overarching goal is to develop innovative computational methods that empower individuals and organizations to leverage AI responsibly while ensuring transparency, fairness, and societal impact.
He currently serves as the technical co-coordinator for the EU-funded AIDAVA project, a research and innovation initiative with an €8 million budget that began in September 2022 and is expected to conclude in September 2026. The project aims to enhance data curation automation by AI-powered Virtual Assistant and empower patients to integrate and have greater control over their health data.
He has gained considerable experience in diverse topics, including ontology-based data integration and knowledge discovery, representation learning, information extraction from unstructured data, and large language models (LLMs). His research vision centers on three key areas:
- Understanding and Improving Personalized Health: In the context of personalized health and nutrition, he has been developing frameworks to build knowledge graphs that represent a person’s complete longitudinal health records, enhancing the quality of knowledge to improve diagnostic assessment and treatment recommendations
- Accelerating Scientific Discovery: By bridging symbolic reasoning and neural-based machine learning for enhanced scientific discovery, he utilizes neuro-symbolic AI systems in knowledge discovery, particularly in drug discovery and information retrieval.
- Promoting Responsible AI: By exploring the way of making data and machine models more transparent and reusable, he aims to increase the responsible use of AI and ensure data and model transparency with FAIR (Findable, Accessible, Interoperable, and Reusable) principles