Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

The Data Science platform provides the Kennedy Institute with internationally competitive capabilities for computational biology research. It supports research activity in data management, computational genomics, statistical genetics, metagenomics, computational and mathematical biology, and clinical trials. These studies are conducted by specialist computational biology research groups, as well as by research groups working in other areas who incorporate computational approaches into their analyses.

Research is supported by an in-house single cell and spatial genomics facility, access to a state-of-the-art high-performance research computing cluster and dedicated infrastructure to manage, curate and mine patient data.

  • Yang Luo
    Yang Luo

    KTRR Senior Research Fellow in Data Science

  • Adrien Hallou
    Adrien Hallou

    Group Leader in Tissue Biology (Innovation Investigator Track)

  • Nicholas Ilott
    Nicholas Ilott

    Senior researcher and lead bioinformatician for the Oxford Centre for Microbiome Studies

KEY COLLABORATORS

  • The Data Science platform underpins the Kennedy Institute research activities in multiple areas and closely interacts with all the other Institute platforms. It also provides collaborative support for computational projects within and outside the Kennedy Institute.


There was an error while rendering this tile

There was an error while rendering this tile

KTRR logo