Contact Us Info Overview Xin GaoProgram Chair, Computer ScienceInterim Director, Computational Bioscience Research CenterPrincipal Investigator, Structural and Functional Bioinformatics GroupProfessor, Computer ScienceStructural and Functional Bioinformatics GroupDr. Xin Gao is a Professor of Computer Science, Interim Director of Computational Bioscience Research Center (CBRC), Deputy Director of Smart Health Initiative (SHI), Lead of the Structural and Functional Bioinformatics Group at KAUST, and a core member of the AI Initiative at KAUST. Prof. Gao's group works on the intersection between computer science and biology. In the AI side, they work on developing theories and methods for deep learning, graphical models, kernel methods, matrix factorization, optimization and graph algorithms. In the application side, they collaborate closely with experimental scientists to develop novel computational methods to solve key open problems in biology and medicine. The biological problems they are working on range from analyzing biomolecular sequences to determining their 3D structures to annotating their functions and understanding and controlling their behaviors in complex biological networks. His group also works on methodology development for a wide range of medicine and healthcare problems. 4700 King Abdullah University of Science and TechnologyThuwal 23955-6900Kingdom of Saudi ArabiaFor general inquiries about King Abdullah University of Science and Technology, please visit the University website www.kaust.edu.sa
Xin GaoProgram Chair, Computer ScienceInterim Director, Computational Bioscience Research CenterPrincipal Investigator, Structural and Functional Bioinformatics GroupProfessor, Computer ScienceStructural and Functional Bioinformatics GroupDr. Xin Gao is a Professor of Computer Science, Interim Director of Computational Bioscience Research Center (CBRC), Deputy Director of Smart Health Initiative (SHI), Lead of the Structural and Functional Bioinformatics Group at KAUST, and a core member of the AI Initiative at KAUST. Prof. Gao's group works on the intersection between computer science and biology. In the AI side, they work on developing theories and methods for deep learning, graphical models, kernel methods, matrix factorization, optimization and graph algorithms. In the application side, they collaborate closely with experimental scientists to develop novel computational methods to solve key open problems in biology and medicine. The biological problems they are working on range from analyzing biomolecular sequences to determining their 3D structures to annotating their functions and understanding and controlling their behaviors in complex biological networks. His group also works on methodology development for a wide range of medicine and healthcare problems.
Xin GaoProgram Chair, Computer ScienceInterim Director, Computational Bioscience Research CenterPrincipal Investigator, Structural and Functional Bioinformatics GroupProfessor, Computer ScienceStructural and Functional Bioinformatics GroupDr. Xin Gao is a Professor of Computer Science, Interim Director of Computational Bioscience Research Center (CBRC), Deputy Director of Smart Health Initiative (SHI), Lead of the Structural and Functional Bioinformatics Group at KAUST, and a core member of the AI Initiative at KAUST. Prof. Gao's group works on the intersection between computer science and biology. In the AI side, they work on developing theories and methods for deep learning, graphical models, kernel methods, matrix factorization, optimization and graph algorithms. In the application side, they collaborate closely with experimental scientists to develop novel computational methods to solve key open problems in biology and medicine. The biological problems they are working on range from analyzing biomolecular sequences to determining their 3D structures to annotating their functions and understanding and controlling their behaviors in complex biological networks. His group also works on methodology development for a wide range of medicine and healthcare problems.
