King Abdullah University of Science and Technology (KAUST) celebrated its 13th Commencement on a cool, breezy evening, December 16, 2022, among approximately 380 graduating students and a full audience of supportive families, university community members and distinguished guests. This year CBRC saw many student candidates complete their Postdoctoral and Masters Degrees. CBRC congratulates all students on this great achievement and wishes you even more success in the future.
Congratulations to Senay Kafkas, Maxat Kulmanov and Fernando Zhapa Camacho of the Bio-Ontology Research Group (BORG) on winning at the KAUST-NVIDIA GPU Hackathon 2022. The 8th edition of the Hackathon on Accelerating Scientific Applications using Graphical Processing Units (GPUs) was held at King Abdullah University of Science and Technology (KAUST), twelve teams of students and researchers enjoyed the opportunity to accelerate their codes in GPU’s under the guidance of expert mentors of NVIDIA, Codee, KAUST Supercomputing Lab (KSL) and KAUST core labs.
The Computational Bioscience Research Center (CBRC) is pleased to announce that Professor Xin Gao has assumed the position of Interim Director and Professor Robert Hoehndorf as Interim Associate Director of the CBRC. Both professors assumed their roles on September 15, 2022.
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.
Fernando Patricio Zhapa Camacho an M.S./Ph.D. candidate in the KAUST Bio-Ontology research group under the supervision of Professor Robert Hoehndorf successfully defended his thesis "Embedding Ontologies using Category Theory Semantics".
Xi Peng MS Student under the supervision of Professor Robert Hoehndorf successfully defended his thesis "Description Logic EL++Embeddings with Intersectional Closure"
Yang Liu, M.S./Ph.D. candidate in the Bio-Ontology research group under the supervision of Professor Robert Hoehndorf successfully defended her thesis "Rare variant collapsing analysis on UK Biobank".
Congratulations to Computer Science alumna Imane Boudellioua (Ph.D. ’19, MS ’12) for receiving a prize in the 19th edition of the annual KACST Almarai National Prize for Creative Scientific Work for Students (Ph.D. Level). As a Ph.D. student in the Computational Bioscience Research Center, Dr. Boudellioua worked in machine learning and data mining algorithms, with research targeting the potential to help patients with mysterious ailments find genetic causes for their undiagnosed disease.
Runar Reve, a former KAUST Visiting Student Research Program (VSRP) student, recently received the International Society for Computational Biology’s (ISCB) Bio-Ontologies COSI – Best Talk Award at the 28th Conference on Intelligent Systems for Molecular Biology (ISMB) 2020.
A likeness between genes of the SARS and COVID-19 viruses could inform research into potential treatments.
KAUST faculty member Robert Hoehndorf was recently promoted from the rank of assistant professor to associate professor. Hoehndorf’s promotion caps a year-long process where the German researcher’s scientific and scholarly output was measured and evaluated by internal and external reviews.
Fernando is a 23-year-old Information Technology graduate fromYachay Tech University in Urcuquí, Ecuador. He has planned to continue his academic career at KAUST under the supervision of Professor Robert Hoehndorf.
A method for finding genes that spur tumor growth takes advantage of machine learning algorithms to sift through reams of molecular data collected from studies of cancer cell lines, mouse models and human patients.
Abeer Almutairi, a student under the supervision of Professor Robert Hoehndorf, defended her Master's thesis "Unsupervised Method for Disease Named Entity Recognition" on November 4, 2019.
Mona Alshahrani a Ph.D. candidate under the supervision of Professor Robert Hoehndorf Defended her Ph.D. thesis "Knowledge Graph Representation Learning: Approaches and Applications in Biomedicine."