University of Edinburgh


The University of Edinburgh, established in 1583, is ranked as one of the top universities in the world (#20 in QS World Univ. Ranking 2020) with a special commitment to global interactions in science, engineering, and health care.

The formation of a unit between the University of Gdansk and the University of Edinburgh will bring expertise from both organization to ensure that: (i) research themes are cutting-edge; (ii) academic recruitment is committed to excellence; (iii) PhD and MD training and mentoring will be innovative, inter-disciplinary, and global in vision; (iv) advanced training courses will be established to encourage international mobility; (v) new national and international scientific networks will be developed; (vii) local, national, and international biotechnology and industrial collaborations will be fundamental to translational success; and (viii) a dynamic international advisory committee will advise on directions, facilitate collaborations, expand the potential of international networks, and promote training through mobility.

In the UK, the Research Excellence Framework (REF) is the system for assessing the quality of research in UK higher education institutions. Each of the University’s three Colleges has at least one research area ranked top in the UK; (a). Edinburgh research in Sociology, in Earth Systems and Environmental Sciences including geography; (b). Computer Science and Informatics was rated the best in the UK based on breadth and quality of research; and (c) joint submissions in Agriculture, Veterinary and Food Science with Scotland’s Rural College (SRUC); and in General Engineering with Heriot-Watt University (Edinburgh). Edinburgh is also one of a select group of British universities to achieve outstanding results when demonstrating the impact of its research on wider society. More than half of its research in this category has been classed as 'world leading'.

Role within KATY

The University of Edinburgh is involved in the following KATY work packages:

  • WP2 – Provide a patient dataset of 1,000 renal cancers and clinical requirements and scenarios.
  • WP5 – Contribute to Predictive AI models and explainable AI decisions.
  • WP6 – Aid in molecular profiling of patient samples, contributing genomic and transcriptomic data. The Edinburgh team will also help with clinical validation and feedback of the AI models.

Main contacts

Photo of Dr Ajitha Rajan
Dr Ajitha Rajan
Team Leader
Photo of Prof. Ted Hupp
Prof. Ted Hupp
Deputy Team Leader
University of Edinburgh
Old College
South Bridge
United Kingdom