Management Group
The CDT is delivered by a broad group comprised of the Executive, Research & Training Leads, CDT Administrative Team, and representatives from the School of Informatics Graduate School.
The management group will work closely with external partners, including funders, and internationally expert advisors to deliver to the vision of the CDT.
Research Theme &
Training Leads
Our academic and training leads are responsible for co-ordinating the delivery of research and training in the CDT program. They play an essential part in ensuring that our students are well supported and that our ethos of a positive research cultures is pro-actively pursued. We want our students to thrive and emerge from the program with a broad range of skills and experience in the application of artificial intelligence to real-world health & biomedical problems.
Independent Advisory Board
The CDT will be supported by an outstanding group of internationally leading domain experts from the public and private sector.
The advisory board will work with the CDT management and its students to help make the program a success.
You can read more about the remit of our EAB here.
Executive Group
The CDT executive group oversee the activities of the CDT with the assistance of the broader management group and research & theme leaders. They co-ordinate the development of CDT strategy and its implementation with a special focus on building relationships with external partners.
Ian Simpson
Professor of Biomedical Informatics & CDT Director
Ava Khamseh
Lecturer in Biomedical Artificial Intelligence & CDT Deputy-Director
Ekaterina Churkina
CDT Programme Manager
Ken Scott
CDT Business Development Executive
Research Theme Leads
Our research theme leaders are domain experts who oversee the development of research activities in their specialist areas. We align our PhD projects with one or more of these themes to ensure we have a good balance of topics and co-develop projects and recruitment in collaboration with our external partners.
Biomedical
Engineering
Andrea Weisse
Chancellor’s Fellow & Research Theme Leader in AI for Biomedical Engineering
Biomedical
Imaging
Sotos Tsaftaris
Professor of Machine Learning and Computer Vision & Research Theme Leader in AI for Biomedical Imaging
Biomedical & Health Informatics
Thanasis Tsanas
Professor of Digital Health and Data Science & Research Theme Leader in AI for Biomedical & Health Informatics
Genomic
Medicine
Ava Khamseh
Lecturer in Biomedical Artificial Intelligence & Research Theme Leader in AI for Genomic Medicine
Training Leads
Our training leads oversee the key areas of skills and knowledge development for our students working with other program team members and the wider academic community in Edinburgh University. In addition they will be working with our external partners to co-deliver masterclasses and activities such as group projects, hackathons, workshops, & seminars.
Artificial Intelligence
Jacques Fleuriot
Professor of Artificial Intelligence & Training Lead in Artificial Intelligence
Biomedical Science
Andrea Weisse
Chancellor’s Fellow & Training Lead in Biomedical Science
Health
Michelle Evans
Talent Lead for the DDI Health and Social Care Program & Training Lead in Health
Responsible Research & Innovation
Luciana D’Adderio
Chancellor’s Fellow & Training Lead in Responsible Research & Innovation
Entrepreneurship
Ndali Cairney
Training Lead in Entrepreneurship
Equality Diversity & Inclusion
Meriem El Karoui
Professor of Bacterial Systems Biology & EDI Champion
Independent Advisory Board
Our Advisory Board will bring vital expertise and unique viewpoints to help us to meet our goals and deliver the highest quality student experience. It will hold us to account and provide independent support and guidance to improve how we operate across the programme.
Mark van der Laan
Jiann-Ping Hsu E. Peace Professor of Biostatistics, University of California, Berkeley, USA
Bryn Roberts
SVP & Global Head of Data & Analytics at Hoffman-La Roche
Kim Branson
SVP Global Head of Artificial Intelligence and Machine Learning at GlaxoSmithKline
Carsten Marr
Director Institute of AI for Health, Helmholtz Institute, Munich, Germany
PPIE Representative
TBD
UKRI Representative
TBD
Additional EAB Member
TBD
Additional EAB Member
TBD