Dr Will Jones

Dr Will Jones

Lecturer & Director of Research

Faculty and Department

  • Faculty of Science and Engineering
  • Data Science AI and Modelling Centre (DAIM)

MSc Data Science and Artificial Intelligence

MSc Artificial Intelligence for Healthcare

Recent outputs

View more outputs

Journal Article

Women's perspectives of molecular breast imaging: a qualitative study: Epidemiology

Elliott, H., Allen, A. J., Forester, N. D., Graziadio, S., Jones, W. S., Lendrem, B. C., Pearce, M. S., Powell, T., Scott, J., & Bray, A. (2025). Women’s perspectives of molecular breast imaging: a qualitative study: Epidemiology. The British Journal of Cancer, 132, 276-282. https://doi.org/10.1038/s41416-024-02930-1

Patient Self-Testing of Kidney Function at Home, a Prospective Clinical Feasibility Study in Kidney Transplant Recipients

Murray, J. S., Williams, C. J., Lendrem, C., Smithson, J., Allinson, C., Robinson, J., Walker, A., Winter, A., Simpson, A. J., Newton, J., Wroe, C., & Jones, W. S. (2023). Patient Self-Testing of Kidney Function at Home, a Prospective Clinical Feasibility Study in Kidney Transplant Recipients. Kidney International Reports, 8(6), 1170-1182. https://doi.org/10.1016/j.ekir.2023.03.003

Presentation / Conference Contribution

Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring

Mishra, B. K., Thakker, D., John, R., Kureshi, R. R., Ahmad, B., Jones, W., & Li, X. (2023, December). Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE

Research interests

I am Director of Research and Lecturer for the Centre of Excellence for Data Science, AI, and Modelling (DAIM), here at the University of Hull. I also hold an Honorary Contract with Hull University Teaching Hospitals (HUTH), NHS, as a Researcher in Medical Oncology. In both roles, I specialise in the development and evaluation of AI medical diagnostics.

I am the AI lead for the ~£11 million NIHR Centre for Addiction and Mental Health Research at Hull and a co-investigator on a ~£600,000 EPSRC project applying Bayes’ Theorem to optimise trial designs for medical diagnostics. I also involved in many other small AI and healthcare projects.

Before joining Hull in 2023, I spent approx. six years as a Senior NHS Healthcare Scientist at the Royal Victoria Infirmary, Newcastle, while also working as a Senior Methodologist and Manager at the NIHR Newcastle In Vitro Diagnostics Co-operative. There, I co-led a team of NHS and university scientists focused on evaluating and validating new medical diagnostics, including AI technologies. Over my career, I have contributed to over 20 medical test development and evaluation projects, securing around £20 million in research and commercial funding.

I have published on clinical studies, medical statistics, health economics, systematic reviews for medical tests, qualitative medical research, and evidence generation methodologies for AI technologies. My work aims to bridge the gap between technical innovation and clinical application, ensuring that AI medical diagnostics are optimally developed to meet real clinical needs.

Lead investigator

Project

Funder

Grant

Started

Status

Project

A Statistical Framework for Efficient Evidence Generation in Diagnostics

Funder

EPSRC Engineering & Physical Sciences Research Council

Grant

£16,321.00

Started

1 January 2024

Status

Ongoing

Project

AI-Wearable Laboratory Grant

Funder

Hull University Teaching Hospitals NHS Trust

Grant

£520.00

Started

1 September 2024

Status

Ongoing

Project

HEIF: PyPlay: Fun with Python for Junior Coders

Funder

University of Hull

Grant

£22,917.00

Started

1 November 2023

Status

Complete

Project

AI-ECG Laboratory Equipment Grant

Funder

University of Hull

Grant

£6,134.00

Started

1 May 2024

Status

Complete

Co-investigator

Project

Funder

Grant

Started

Status

Project

Wolfson Equipment bid 2023 - Confocal Imaging ZEISS Elyra 7 with Lattice SIM²

Funder

Wolfson Foundation

Grant

£500,000.00

Started

1 October 2024

Status

Ongoing

Project

NIHR Mental Health Research Group

Funder

NIHR National Institute for Health Research

Grant

£8,411,778.00

Started

1 November 2024

Status

Ongoing

Project

Vital Knowledge Exchange Visits: Bolstering Ongoing Collaborative Responsible AI Projects at IIT-M and UoH

Funder

University of Hull

Grant

£7,500.00

Started

1 February 2024

Status

Complete

Postgraduate supervision

I can supervise Masters and PhDs on the topic of AI in healthcare, and philosophy and AI.

Current students I am leading on:

Taofiq Adeyemo, ‘Predicting bleeds in Glioma patients on anticoagulants using AI’.

Supervisors: Dr Will Jones, Eva Sousa, Prof. Antony Maravyas, Dr Farzana Hague, Prof. Anthony Beavis.

Email: t.a.adeyemo-2021@hull.ac.uk

Holly Connolly: ‘Programming Ethics into AI’

Supervisors: Dr Will Jones and Dr Stephen Burwood

Email: h.a.connolly-2018@hull.ac.uk

Hope Ekpa: 'AI & Alcohol Addiction' (pending start)

Supervisors: Dr Will Jones, Prof. Tom Philips, Prof. Judith Cohon

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