Robert Hoehndorf
Scholar

Robert Hoehndorf

Google Scholar ID: 4vVGk3kAAAAJ
King Abdullah University of Science and Technology
BioinformaticsNeurosymbolic AIKnowledge representationApplied Ontology
Citations & Impact
All-time
Citations
6,115
 
H-index
32
 
i10-index
89
 
Publications
20
 
Co-authors
177
list available
Contact
No contact links provided.
Resume (English only)
Background
  • 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