Computer science

Finding the Face in the Crowd

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An algorithm that maximizes the difference between data categories achieves high accuracy in classifying faces.

Sharing expert experimental knowledge to expedite design

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A repository of metabolic information provides a quick reference tool for designing useful synthetic biological systems.

AI reveals nature of RNA-protein interactions

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A deep learning tool could help in structure-based drug discovery.

Computers excel in chemistry class

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Machine learning models can rapidly and accurately estimate key chemical parameters related to molecular reactivity.

Simulating evolution to understand a hidden switch

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Some organisms evolve an internal switch that can remain hidden for generations until stress flicks it on.

Xin Gao promoted to rank of professor

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Computational Bioscience Research Center (CBRC) would like to congratulate Xin Gao for being promoted to the rank of Professor, effective January 1, 2021. Prof. Gao joined KAUST in October 2010 and became a CBRC PI in January 2013. He has since then produced tremendous work in the areas of computational biology, bioinformatics, machine learning, and algorithms. Dr. Xin Gao is also the Acting Associate Director of the Computational Bioscience Research Center and the lead of the Structural and Functional Bioinformatics Group at KAUST. Prior to joining KAUST, he was a Lane Fellow at Lane Center

Training an AI eye on the Moon

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Machine learning accelerates the search for promising Moon sites for energy and mineral resources.

New database to "SpUR" on cancer research

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Xin Gao's team developed an interactive web portal where cancer scientists can interrogate how RNA splicing in noncoding parts of genes fuels the growth of different types of tumors.

AI helps diagnose post-COVID lung problems

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A new AI diagnostic tool developed by KAUST scientists allows doctors to visualize lung damage caused by COVID-19 in more detail.

Alumni in focus: Abdullah AlGziwi

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Abdullah AlGziwi, a visiting student under Professor Xin Gao's supervision, was recently awarded the “Second Place Grand Award” at the Saudi National Olympiad for Scientific Creativity. He presented his research project on “A Novel exosome-encapsulated-miRNA-based machine learning model for multiple cancer prediction and prognosis”.

Prof. Xin Gao assumes the position of CEMSE CS Program Chair

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Prof. Xin Gao has assumed the role of CEMSE CS Program Chair, marking a significant development for our academic community.

Former CBRC PhD Student Ibrahim Alabdulmohsin Highlighted for AI Contributions on Saudi National TV

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Former CBRC PhD student Dr. Ibrahim Alabdulmohsin, now a senior research scientist at Google DeepMind in Zurich, was featured by the Josoor Program on Saudi National TV. The program, meaning "Bridges" in Arabic, highlighted Dr. Alabdulmohsin's journey from his education at the University of Nebraska, Lincoln, and Stanford University to his leadership roles at Aramco's Advanced Analytics team. After graduating from KAUST under the supervision of Prof. Xin Gao, he joined DeepMind in 2019, contributing to groundbreaking AI research. The 24-minute episode explores his career and contributions to the field. Dr. Alabdulmohsin's commitment to advancing AI underscores his pivotal role in shaping the future of technology.