Dr Denis Newman-Griffis

Profile

Denis Newman-Griffis (they/them) is Theme Lead for AI-Enabled Research and AI for Health Lead in the Centre for Machine Intelligence, and a Senior Lecturer in the School of Computer Science at the University of Sheffield. They lead cross-faculty engagement to support AI methods in research at the University, including both research skills and computational infrastructure to make AI and data-driven research more usable across disciplines. In their AI for Health Lead role, they work closely with counterparts throughout the University ecosystem, including in Insigneo, the NIHR Sheffield Biomedical Research Centre, Data Connect, and others, to enable groundbreaking collaborations and raise the profile of Sheffield’s research on AI in health.

In addition to their University roles, Denis is actively engaged in government policy and wider national and international research systems. They held a British Academy Innovation Fellowship with Skills England, and are a DSIT Expert Exchange Programme fellow in the Government Office for Science. They are a founding member and inaugural Executive Group Co-Chair of the UK Young Academy. Denis has held appointments in the Research on Research Institute, the University of Pittsburgh Department of Biomedical Informatics, the National Institutes of Health Clinical Center, and the University of Sheffield Information School. Their work has been recognised with the American Medical Informatics Association’s Doctoral Dissertation Award and the UK AI Research Symposium Impact Award.

Denis is a proud queer and neurodivergent scientist, and is a Non-Binary Role Model at the University of Sheffield.

Research Interests

Denis’ research group investigates Responsible AI in practice across four key areas:

• AI in the public sector: responsible AI in local government, AI practices in national government, and developing effective and ethical AI policy.
• AI for Science: responsible use of AI in research funding and assessment, AI skills for researchers, and the impact of AI on scientific knowledge creation.
• AI skills: defining and analysing AI-related skills in education and training, developing practical AI competencies, and understanding skills gaps for AI in real-world practice.
• AI and disability: critical perspectives on the interactions between data, AI, and disability, and AI methods for analysing information related to functional status and disability.

Full Contact Details

Dr Denis Newman-Griffis
Centre for Machine Intelligence
Central Wing, Engineering Heartspace
Mappin Street
Sheffield
S1 3JD

 Orcid ID:0000-0002-0473-4226