Leads the Bio-Ontology Research Group (BORG) at KAUST
Research focuses on the use of bio-ontologies for data integration and analysis in biology
Interested in biological problems requiring integration of multiple data types and across scales/granularities
Works on development of biomedical ontologies, their application to data integration/annotation, and ontology-based neuro-symbolic machine learning models
Application areas include: molecular basis of rare/common human diseases, personalized diagnosis/treatment, function/phenotype prediction, and biodiversity of plants and microbes