University of Sheffield

Digital Health

Theme Lead: Dr Andrew Narracott Senior Lecturer, Department of Infection, Immunity & Cardiovascular Disease

I joined the University of Sheffield in 1993 and completed an undergraduate Physics Degree in 1997 and a PhD in Medical Physics in 2002.

The focus of my PhD study was the interaction between balloon catheters and coronary stents during stent deployment and involved the use of both experimental and numerical techniques to address the problem.

Between 2001 and 2007 I worked on a number of projects addressing a range of biomechanical applications. These include; Bloodsim (EU FP7), a commercial project funded by the Trustees for the Bowling-Pfizer Heart Valve Settlement Funds, a study of deep vein thrombosis treatment funded by the EPSRC and a six month period spent in Tokyo, Japan funded by the RIKEN institute to develop models of blood clotting in cerebral aneurysms.

Digital Humanities

Theme Lead: Michael Pidd Director of The Digital Humanities Institute

Michael has nearly 30 years of experience in developing, managing and delivering large collaborative research projects and technology R&D in the humanities and heritage subject domains.

He is currently Principal Investigator (UK) on the project C21 Editions: Scholarly Editing and Publishing in the Digital Age (AHRC and Irish Research Council) and Co-Investigator on the project Scoping Future Data Services (AHRC).

He was Principal Investigator on the following projects: Connecting Shakespeare (HEIF), Dewdrop (Jisc), Reinventing Local Public Libraries (HEIF), and Manuscripts Online (Jisc); Co-Investigator on the following projects: Intoxicants and Early Modernity (ESRC/AHRC), Linguistic DNA (AHRC), Beyond the Multiplex (AHRC) and Ways of Being in the Digital Age (ESRC); and has been the technical lead on a wide number of projects such as Digital Panopticon (AHRC).

Machine Learning

Theme Lead: Dr Ning Ma Lecturer in Medical Computing, School of Computer Science

Ning is a Lecturer in Medical Computing at the Department of Computer Science, University of Sheffield, and also an Academic Directorate of Medical Imaging and Medical Physics at the Sheffield Teaching Hospitals NHS Foundation Trust. Before that he was a Research Fellow in Computer Science working on health-related research projects. His first degree was in Computer Science from South China University of Technology and he has a PhD in hearing inspired automatic speech processing from the University of Sheffield.

Ning is a Insigneo Institute Research Theme Co-Director for Healthcare data/AI. He is a member of the British Sleep Society, the British Thoracic Society and IEEE.

Local Research Groups and Resources

Events and Seminars

R for Health Technology Assessment (HTA) workshop
Friday 28th June, Monday 1st and Tuesday 2nd July 2024. (hybrid and online)
The goal of this event is to provide interesting and enlightening presentations on the use of R that will engage an audience of those working in the field of health technology assessment and related analysis.
Sign up to attend (Closing Date: 21 June 2024)
Synthetic Data Generation Event
Wed, 17 April, 2024. 10:00 - 16:00

Leeds researchers using the Bede supercomputer

List of current users and their projects