About Sarah Alghamdi Sarah Alghamdi Ph.D. Student (former), Computer Science artificial intelligence statistical methods genomics healthcare Sarah Alghamdi is a Ph.D. candidate in the Bio-Ontology Research Group (BORG) at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Robert Hoehndorf. Research Interests Sarah's research interests include applications of artificial intelligence and using statistical methods to genomics and healthcare. Professional Profile Program Committee for the International Conference of Biomedical Ontology (ICBO 2022) Program Committee for the International Society of Molecular Biology (ISMB 2022) - Bio-Ontology track 2018-2021: Teaching Assistant positions: CS Articles Related News July 2023 PhD Dissertation Defense | Ontology design patterns and methods for integrating phenotype ontologies 3 min read · Sun, Jul 23 2023 News Ontologies Computer science artificial intelligence CBRC PhD student Sarah Alghamdi successfully defended her dissertation last week. She has been an essential member of the Bio-Ontology Research Group (BORG) since 2015.Her research interests include the applications of artificial intelligence and statistical methods to genomics and healthcare. September 2022 How much do model organism phenotypes contribute to the computational identification of human disease genes? 1 min read · Sun, Sep 4 2022 News Ontologies phenotype ontologies gene-disease associations PhD Student Sarah M Alghamdi from the Bio-Ontology Research Group (BORG) explains how phenotype ontologies help in identifying disease genes through phenotype comparison. Her research was picked as a highlight in the July 2022 issue of Disease Models and Mechanisms Journal. May 2018 Sarah Alghamdi defends her master's thesis 1 min read · Sun, May 6 2018 News artificial intelligence bioinformatics computational methods data mining Sarah Alghamdi successfully defended her master's thesis on April 10, 2018. Her project, entitled "Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Ageing and Longevity in Inbred Mouse Strains", was well-received by a panel of professors that included Professor Vladimir Bajic, Associate Professor Xin Gao and Assistant Professor Robert Hoehndorf. December 2017 BORG students present research in KAUST Research Conference on Big Data Analyses in Evolutionary Biology 1 min read · Tue, Dec 12 2017 News Two students from the Bio-Ontology Research Group presented their research at KAUST Research Conference on Big Data Analyses in Evolutionary Biology.
PhD Dissertation Defense | Ontology design patterns and methods for integrating phenotype ontologies 3 min read · Sun, Jul 23 2023 News Ontologies Computer science artificial intelligence CBRC PhD student Sarah Alghamdi successfully defended her dissertation last week. She has been an essential member of the Bio-Ontology Research Group (BORG) since 2015.Her research interests include the applications of artificial intelligence and statistical methods to genomics and healthcare.
How much do model organism phenotypes contribute to the computational identification of human disease genes? 1 min read · Sun, Sep 4 2022 News Ontologies phenotype ontologies gene-disease associations PhD Student Sarah M Alghamdi from the Bio-Ontology Research Group (BORG) explains how phenotype ontologies help in identifying disease genes through phenotype comparison. Her research was picked as a highlight in the July 2022 issue of Disease Models and Mechanisms Journal.
Sarah Alghamdi defends her master's thesis 1 min read · Sun, May 6 2018 News artificial intelligence bioinformatics computational methods data mining Sarah Alghamdi successfully defended her master's thesis on April 10, 2018. Her project, entitled "Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Ageing and Longevity in Inbred Mouse Strains", was well-received by a panel of professors that included Professor Vladimir Bajic, Associate Professor Xin Gao and Assistant Professor Robert Hoehndorf.
BORG students present research in KAUST Research Conference on Big Data Analyses in Evolutionary Biology 1 min read · Tue, Dec 12 2017 News Two students from the Bio-Ontology Research Group presented their research at KAUST Research Conference on Big Data Analyses in Evolutionary Biology.
Engage ORCID ShareClipboard Related Sites Bio-Ontology Research Group (BORG) Computer Science (CS) Related Content Articles 4 Projects 2 Events 2 Related Links Publication list on ORCID Publication on KAUST Repository Also view list of Publications on Google Scholar Linked In Profile
