Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Below find a list of the CoMPuTE Steering and Stakeholder Group:

Portrait of Professor Chris Salisbury

Chris Salisbury


Professor Chris Salisbury is Professor of Primary Health Care and an NIHR Senior Investigator. He has published 5 books and over 230 research papers on the broad topic of how to improve provision of primary care. He has conducted several high-profile evaluations of new models of care, such as changes in out-of-hours arrangements, NHS walk-in centres, GPs with Special Interests, telehealth for chronic disease management, and the potential of new forms of consultation such as e-consultations. In recent years he has focused on how health care should address the challenge of the growing number of people with multimorbidity.
Profile picture of Marion Judd

Marion Judd


Following a career in the NHS as a Physiotherapist and project manager with an interest in clinical research, on retirement I initially became active in the government funded Patient Involvement movement, taking part in a number of local audits and research initiatives, while completing a post graduate degree. When interest in public and patient involvement in research was starting to be enacted by our universities, I was lucky to be appointed as a patient representative in the Nuffield Department of Primary Care Health Sciences in Oxford. Given that medical and medico- social research can ultimately result in new and better ways of managing illnesses, on the basis of my experience as a patient representative  I believe it is important that members of the public are given opportunities to enhance medico-social academic research In ways that help make it more relevant and accessible to the general population.
Profile picture of John Taylor

John Taylor


Prior to early retirement on health grounds,I am a Stage 3 Renal patient, I had been at various time an NHS bacteriologist, a Quality Control lead in a small Industrial QC consultancy, MD of a chemicals company and a partner In a jobbing Engineering business.
Following retirement I was a PPI member of three NICE guidelines development groups, a Community Health Council and it's successors, Bolton NHS FT, the NW Summary Care Record rollout, a number of steering groups for various health related research projects as PPI member, I have recently completed my twentieth research grant funding application for the NIHR RfPB as a PPI reviewer.

Profile picture of Irene Poku

Irene Poku


I am a Personal and Business Coach. Primarily I focus on coaching leaders to

  1. Improve wellbeing and consequently increase productivity and efficiency
  2. Balance work and family life to reduce stress and improve health

Prior to starting my coaching career, I worked within the pharmaceutical industry for 20 years as a pharmacovigilance expert and clinical trials project manager. I have been involved in numerous clinical trials across therapeutic areas. I have been involved in the care of family members with comorbidities over the last 6 years and this has prompted my involvement in this steering group.

Profile pic of Rosa Parisi

Rosa Parisi


I am biostatistician working with large databases such as NHS Digital data and the Clinical Practice Research Datalink. In 2019 I joined the Centre for Primary Care at the University of Manchester and I currently work or contribute to healthcare services research, multiple epidemiological or pharmacoepidemiological projects.

In 2011 I joined the Centre for Pharmacoepidemiology and Drug Safety at the UoM and worked for several years on the epidemiology of psoriasis using CPRD.

Previous to that, I completed a PhD in Genetic Epidemiology from the University of Leeds which was about developing statistical methods for the analysis of genome-wide association studies with a focus on melanoma. During this time, I became familiar with “big data”, machine learning and advanced statistical methods.

Profile picture of Evangelos Kontopantelis

Evan Kontopantelis


Evangelos (Evan) Kontopantelis is a Professor in Data Science and Health Services Research in the Faculty of Biology, Medicine and Health at the University of Manchester, England. He holds degrees in computational statistics (BSc) and machine learning (MSc and PhD) and has a long track record in research using large-scale primary care and other administrative databases to investigate quality of care and mortality, with a focus on the effects of policy changes and the role of socio-economic and regional disparities. His methodological interests include statistical methods in health sciences with a focus on spatial epidemiology, meta-analysis, longitudinal data modelling, observational studies with electronic health records, machine learning and quasi-experimental designs.
Rafael Perera Professor Rafael Perera

My main activity is as Director of the Statistics group in the Nuffield Department of Primary Care Health Sciences (NDPCHS), University of Oxford. I am involved in a number of research activities across the University; however my main focus is the study of Monitoring for the management of long-term conditions (e.g. Type 2 diabetes, hypertension, etc).
I have overseen the development of one of the strongest methodological/statistical groups in the UK (across all clinical areas) with a particular emphasis on Monitoring. As part of this we have created national and international links with multiple clinical and research methods departments. As part of this work, I was the original Statistical director of our fully accredited Clinical Trials Unit (full accreditation required to carry out trials in the UK).
I sit on a range of national and international panels and boards that influence healthcare policy at different levels (funding boards, steering groups, data monitoring boards, etc.). I am also a Statistical Editor of the BMJ (since 2011) and I am currently a member of the NIHR Artificial Intelligence for Multiple Long Term Conditions funding panel.

AAN Anica Alvarez Nishio

Anica is an experienced public advocacy consultant and editor who has worked in both commercial and literary publishing.  She has served on and chaired a number of boards, funding organisations and governmental committees with a focus on health, education, marginalised groups and community engagement (NICE Quality Standards Advisory Committee; NIHR Quality Safety Outcomes Policy Review Unit and Programme Grants for Applied Research; Adolescent Mental Health Data Platform; Veterans’ Affairs Pensions Committee; Independent Monitoring Board HMP Erlestoke).  Through her roles as a Lay Rep with Health Education England, local councillor and advocate for social-enterprise charities, she has first-hand experience in the practical delivery of health and mental-health care strategies, primarily making these equitably accessible for those in farming, military and mixed communities.  She has an interest in the effective usage of data and technology and particularly in the ethical issues surrounding the delivery of care.

David Seinsaltz.jpg David Steinsaltz

I moved to Oxford from Queen’s University in Kingston, Ontario, where I was Associate Professor in the Department of Mathematics and Statistics. Before then I was a postdoc at UC Berkeley for six and a half years, in the Departments of Demography and Statistics, following stints at the Technical University of Delft and the Technical University of Berlin. I completed my PhD in probability theory in the Harvard University Department of Mathematics in 1996, working with Persi Diaconis.

tingting.jpg Tingting Zhu

Dr Zhu graduated with the DPhil degree in information and biomedical engineering at Oxford University in 2016. This followed her MSc in Biomedical Engineering at University College London and BSc in Electrical Engineering from the University of Malta.

Dr Zhu's DPhil focussed on the development of probabilistic techniques for combining information from wearable sensors to form a consensus that provides accurate monitoring of time-series medical data. After DPhil, Dr Zhu was awarded a Stipendiary Junior Research Fellowship at St. Hilda's College, Oxford.

Julie McLellan Julie McLellan 

 Julie is a Senior Systematic Reviewer and Programme Manager within the statistics group in the Nuffield Department of Primary Care Health Sciences, Oxford. She is a researcher who has worked on a number of reviews across a range of healthcare topics including: natriuretic peptides for monitoring chronic heart failure, remote monitoring of heart failure, smoking prevention in schools, lipids as predictors of cardiovascular events, effect of drug treatment on the progression of chronic kidney disease.  Current projects include accuracy of testing for serious bacterial infection in the immunocompromised in ambulatory care and a methodological study of stepped wedge trial design. Julie joins CoMPuTE as a programme manager after completing this role on the NIHR Programme Grant ‘Monitoring in Long Term Conditions’.

Nicola Pidduck Nicola Pidduck

 Nicola has been working for Professor Rafael and his team in the Nuffield Department of Primary Care Health Sciences since 2011. Nicola is currently the programme manager for the CoMPuTE NIHR grant and has been programme manager for the recently completed NIHR Programme Grant ‘Monitoring in Long Term Conditions’ as well as other grants for the team. 

Profile picture of Christopher Yau, Professor of Artificial Intelligence at the University of Manchester, UK Christopher Yau 

Christopher Yau is Professor of Artificial Intelligence at the University of Manchester, UK. His research is primarily concerned with the development of novel AI methodologies for applications across the spectrum of biomedical and health sciences including multi-omics, cancer, multimorbidity and substance abuse. He is a Fellow of the Alan Turing Institute and Director of the Health Data Research UK-Turing Wellcome PhD Programme in Health Data Science, a cross-institutional doctoral training collaboration across seven leading UK universities. He is a UKRI Turing AI Fellow awarded for research into the artificial intelligence underpinnings of molecular-based cancer medicine. He also leads the Machine Learning Clinical Interpretation Partnership as part of the Genomics England 100,000 Genomes Project.

CoMPuTE Steering and Stakeholder Group (SSG)

Including members and biographies