People

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.

External 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.

A photo of Professor Ian Simpson

Ian Simpson

Professor of Biomedical Informatics & CDT Director

Ava Khamseh

Lecturer in Biomedical Artificial Intelligence & CDT Deputy-Director

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Ekaterina Churkina

CDT Programme Manager

Ken Scott

CDT Business Development Executive

Administrative & Support Team

The admin support team play an essential role in the smooth running of the CDT providing day-to-day assistance to students and staff.

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TBD

CDT Administrator

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TBD

CDT Computing

Support Officer

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TBD

CDT Finance Support

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
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Jacques Fleuriot

Professor of Artificial Intelligence & Training Lead in Artificial Intelligence

Biomedical Science

Andrea Weisse

Chancellor’s Fellow & Training Lead in Biomedical Science

Health
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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

External Advisory Board

Our External 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.

Headshot of Professor Mark van der Laan

Mark van der Laan

Jiann-Ping Hsu E. Peace Professor of Biostatistics, University of California, Berkeley, USA

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Bryn Roberts

SVP & Global Head of Data & Analytics at Hoffman-La Roche

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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

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PPIE Representative

TBD

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UKRI Representative

TBD

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Additional EAB  Member

TBD

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Additional EAB  Member

TBD