Get involved: Development and Improvement Group

The Gateway is constantly in development and it is key for us to have input and feedback from a broad range of audiences to ensure it meets the needs of current and new users.

Whilst we always welcome user feedback via our community forum, it is also useful for us to interact with users in specific sessions and workshops, particularly around new Gateway features we are in the process of designing and improving.

The Gateway Development and Improvement Group enables users to participate in our design workshops and sessions and give informal feedback on prototypes of new features. It is hosted on the community forum and via a mailing list. It also allows for continuity, an engaged network we hope to grow and also recognition for the invaluable help and feedback members provide for us. We expect members to attend 2-3 sessions a year and the role is not intended to be burdensome.

We will ensure the group includes a range of different perspectives and members from diverse backgrounds and experiences. The group is not exclusive and we welcome anyone who is interested in taking part in design sessions and activities to join.

Please find the profiles of our DIG members below. If you’d like to join then please get in touch with Ruth Milne ( who can provide more information - no previous experience needed!


Aden Kwok

Data Manager/ Programmer, Nuffield Department of Population Health, University of Oxford


Ahmed Al-Naher

Clinical Pharmacology and Therapeutics SpR, University of Liverpool


Aida Sanchez

Senior Data Manager, Centre for Longitudinal Studies (CLS), University College London


Alex Handy

Health Data Scientist and Senior Research Fellow, University College London Institute of Health Informatics


Alex Renziehausen

Head of Science and Clinical, Genomics England


André Bittar

Research Associate, Department of Biostatistics & Health Informatics, Kings College London


Angela Beresford

Partner in Data & Analytics, Publicis Groupe.

Part of the Clinical trials Experience team, taking part in research and working on improving communications and care for participants of trials.


Daniel Stow

Research Associate, Wolfson Institute of Population Health, Queen Mary University of London


Fatemeh Torabi

Research Officer and Data Analyst, Swansea University


Honghan Wu

Lecturer in Health Informatics, Institute of Health Informatics, University College London


Jo Gumbs

National Director, OcuMel UK


Katy Shearer

Strategic Communications Officer, British Medical Association


Laura Sato

Head of Integration Data Architecture, NHS Digital


Macey Murray

Research Fellow in Trial Conduct Methodology, The MRC Clinical Trials Unit, University College London


Omar Khan

Interoperability Standards Architect, NHS England


Rachel Habergham

Program Director, NHS England


Sara Payne

Freelance health regulation, MHRA


Sarah Markham

Visiting Researcher, Department of Biostatistics & Health Informatics, Kings College London


Sayoni Das

Senior Bioinformatician, Precision Life


Spencer Gibson

Research Associate, Department of Genetics and Genome Biology, University of Leicester


Stephen Andrews

Member of the Research & Innovation Group and Digital Strategy Group, Harrogate & District NHS Foundation Trust

Officially retired from the British Library following a career in scientific information and online research development (primarily with a biomedical focus), though still actively involved in research within the NHS. Worked with a number of research organisations and technology companies over the years on various information infrastructure projects.


Theodoros N. Arvanitis

Chair in Digital Health Innovation & Director of the Institute of Digital Healthcare, University of Warwick


Vishnu Chandrabalan

Consultant Surgeon and Associate Clinical Information Officer – Data Science at Lancashire Teaching Hospitals NHS Trust. Python enthusiast and currently building a cloud-first, collaborative, auto-scaling, cost-effective data science environment in Azure. Keen to drive common data models and enabling data discovery for analytics and research in the NHS.