Stephanie Shoop-Worrall

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Pronouns: she/her

I am a MRC Career Development Research Fellow in Epidemiology and Data Science, largely working with children and young people with juvenile idiopathic arthritis (JIA) and adults with psoriatic arthritis (PsA).

My broad research areas are:

1. Machine learning: Applying novel supervised and unsupervised machine learning methods to understand clusters of disease and further stratified medicine 

2. Lifecourse epidemiology: Exploring avenues for harmonised care in diseases which are mirrored in child- and adult-hood

3. Remission: Understanding the state of 'remission', how it is measured and how to predict who will achieve it

4. Adolescent medicine: Understanding how measures of disease and its impact should be captured as young people mature into adulthood

5. COVID-19: Understanding the impact of the COVID-19 pandemic on children, young people and adults with rheumatic diseases

I gained my BSc at the University of Liverpool in 2013 and then worked as a research assistant in veterinary epidemiology at the Royal Veterinary College. I gained my MSc in Epidemiology(Biostatistics) at Imperial College London in 2014 and my PhD at the University of Manchester in 2018.



Tel: 01612757757



Social responsibility

Equality and diversity:

I lead multiple projects aiming to improve access to STEM careers for young people from marginalised or under-represented communities. I also sit on the School of Biological Sciences Athena Swan Self-Assessment Team, which aims to seek feedback, and prepare reports, on areas for improvement in equality and diversity within the school. I am an active Allout member, responsible for maintaining safe spaces for LGBT+ staff and students within the University.


I am a member of the Centre for MSK research Green Impact team, which promotes environmentally sustainable work practices. 

Patient and public involvement and engagement (PPIE):

Patient involvement is integral to my research, and I regularly consult patient groups (CLUSTER champions, Your Rheum, Brit-PACT etc) to co-design studies, interpret results and share our findings.

Many of these organisations are open to new members. If you are a young person with a rheumatic disease and want to be involved in research, please contact the Your Rheum team: 


I lead the Introduction to Epidemiology module (for PhD students/staff) within the Centre for Epidemiology Versus Arthritis. I also teach on various undergraduate (Medicine), masters (MPH, MRes Medical Sciences, MSc Health Data Science, MSc Clinical Rheumatology) and PhD/staff (Applied Epidemiology) courses with the Faculty of Biology, Medicine and Health. 

Further information


My work has been presented as oral and poster presentations at national and international conferences including:

- American College of Rheumatology (ACR)

- British Society for Paediatric and Adolescent Rheumatology (BSPAR)

- British Society for Rheumatology (BSR)

- British Small Animal Veterinary Association (BSAVA)

- European League Against Rheumatism (EULAR)

- Jodrell Bank Cantre for Astrophysics Machine Learning

- LECRC: Data Science, Machine Learning and Artificial Intelligence

- Paediatric Rheumatology European Society (PReS)

- Research with Children at Manchester

- Statistical Analysis of Multi-Outcome (SAM)


I have also chaired oral abstract sessions at BSPAR (Southampton, 2018) and PReS (Athens, 2017) conferences.

Memberships of committees and professional bodies

- University Research Ethics Committee member

- Athena Swan Committee, School of Biological Sciences

- Member of the Paediatric Rheumatology European Society (PReS)

- Peer-review mentoring subgroup lead within EMERGE, a network of early-career paediatric rheumatology researchers across Europe

- Working group member of EMEUNET, a network of early-career rheumatology researchers across Europe

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


  • Epidemiology
  • Rheumatology
  • Biostatistics
  • Machine learning


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