Biography
Robert Hoehndorf is an Assistant Professor in Computer Science at King Abdullah University of Science and Technology in Thuwal. His research focuses on the applications of symbolic AI in biology and biomedicine, with a particular emphasis on integrating and analyzing heterogeneous, multimodal data. Robert has contributed to the PhenomeNET system for ontology-based prioritization of disease genes using model organism phenotypes, the AberOWL ontology repository, and the DeepGO system for protein function prediction. He is an associate editor for the Journal of Biomedical Semantics, BMC Bioinformatics, Applied Ontology, and editorial board member of the journal Data Science. He published over 90 papers in journals and international conferences.
All sessions by Robert Hoehndorf
Symbolic AI in Computational Biology (Prof. Robert Hoehndorf, KAUST)
03:45 PM
The life sciences have invested significant resources in the development and application of semantic technologies to make research data accessible and interlinked, and to enable the integration and analysis of data.