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Bioinformatics and Computational Biology

Bioinformatics and Computational Biology


The Bioinformatics and Computational Biology theme develops methods and algorithms for analyzing biological and biomedical big datasets, offering the tools and methodologies essential for managing, mining, predicting disease onset and progression, and accelerating the progression from research to clinical application. This theme will harness the unique ecosystem created by the KCSH where there is an equal dialogue between the “dry” side (AI) and the “wet” side (biology) of research. This integrated approach allows the KCSH to meaningfully tackle the extraordinarily complex and multifaceted health challenges of the Kingdom.

The Bioinformatics and Computational Biology theme is a cornerstone of the KCSH, supplying crucial computational skills and cutting-edge technologies necessary for delving into and implementing AI in protein and drug design. These activities play a pivotal role in designing precision medicine techniques, personalized therapies and a comprehensive understanding of the genetic drivers of health and wellness.

Areas of Focus

  • Ongoing

    Computational methods to support treatment

    KAUST PI(s): Robert Hoehndorf, Stefan Arold, Takashi Gojobori, and Xin Gao
    KAUST Co-investigator(s): N/A
    Collaborator institution(s): N/A

  • Ongoing

    Computational methods to support prevention and diagnosis

    KAUST PI(s): Robert Hoehndorf, Stefan Arold, Takashi Gojobori, and Xin Gao
    KAUST Co-investigator(s): N/A
    Collaborator institution(s): N/A

  • Ongoing

    Epidemiology and infectious disease

    KAUST PI(s): Robert Hoehndorf, Stefan Arold, Takashi Gojobori, and Xin Gao
    KAUST Co-investigator(s): N/A
    Collaborator institution(s): N/A

Contact Us

Email: smarthealth@kaust.edu.sa

For media inquiries, please contact global.pr@kaust.edu.sa