Remzi Celebi (R.)
Remzi Celebi is an Assistant Professor at Institute of Data Science at Maastricht University. He completed his PhD from Ege University, Turkey in 2018 for his thesis entitled "Machine Learning based Semantic Link Prediction for Biomedical Knowledge Graphs". His research vision is to understand and improve personalized health and accelerate drug discovery through use of responsible AI approaches and adhering to the FAIR (Findable, Accessible, Interoperable and Reusable) principles.
His research interests are in Machine Learning, knowledge Graphs, Linked Open Data and Semantic Web Technologies, as well as the use of these technologies in drug discovery and personalized health applications. He has gained considerable experience in data integration and knowledge discovery based on structured and unstructured data.