Denis NEWMAN-GRIFFIS

  • Senior Lecturer and AI for Health Lead, University of Sheffield Centre for Machine Intelligence
  • British Academy Innovation Fellow
  • Executive Group Member and Past Co-Chair, UK Young Academy

Dr Denis Newman-Griffis (they/them) is Senior Lecturer and AI for Health Lead in the University of Sheffield’s Centre for Machine Intelligence, and a founding Member, Executive Group Member, and immediate past Co-Chair of the UK Young Academy. Dr Newman-Griffis’ award-winning research investigates the responsible use of AI technologies to support human flourishing, bridging across AI applications in policy and public services, science systems, health and disability, and skills and education. Their work in close co-production with national government departments, local authorities, and public and private research funding organisations from around the world is helping to shape responsible AI in the practice of public services and science policy, and their research on AI and disability has brought together technological innovation and critical analysis to advance disability justice in AI-enabled health and welfare. Dr Newman-Griffis is a passionate advocate for inclusion and support of diverse early-career researchers, innovators, and professionals, and their leadership has helped to establish the UK Young Academy as an international innovator in bringing together transformative early-career leadership across sectors. Dr Newman-Griffis has been recognised with a British Academy Innovation Fellowship and the American Medical Informatics Association’s Doctoral Dissertation Award. 

Speech Topic

Building bridges: Learning from a decade of building community and collaboration across nations, sectors, and disciplines 

Copyright © 2025 Young Academy of Sciences Summit 2025-2027 - All Rights Reserved.


Powered by

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept