Professor Sinead Brophy
Professor (CIPHER)
Biomedical Sciences
Telephone: (01792) 602058
Email: JavaScript is required to view this email address.
Room: Cellular Office - 205
Second Floor
Data Science Building
Singleton Campus

Publications

  1. Todd, C., Cooksey, R., Davies, H., McRobbie, C., Brophy, S. Mixed-methods evaluation comparing the impact of two different mindfulness approaches on stress, anxiety and depression in school teachers BMJ Open 9 7 e025686
  2. Brophy, S., John, A. Authors’ reply The British Journal of Psychiatry 214 2 113 114
  3. Marchant, E., Todd, C., Cooksey, R., Dredge, S., Jones, H., Reynolds, D., Stratton, G., Dwyer, R., Lyons, R., Brophy, S. Curriculum-based outdoor learning for children aged 9-11: A qualitative analysis of pupils' and teachers' views.
  4. Dennis, M., Shine, L., John, A., Marchant, A., McGregor, J., Lyons, R., Brophy, S., Brophy, S. Correction to: Risk of Adverse Outcomes for Older People with Dementia Prescribed Antipsychotic Medication: A Population Based e-Cohort Study Neurology and Therapy
  5. Rahman, M., Todd, C., John, A., Tan, J., Kerr, M., Potter, R., Kennedy, J., Rice, F., Brophy, S. School achievement as a predictor of depression and self-harm in adolescence: linked education and health record study The British Journal of Psychiatry 212 4 215 221

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Teaching

  • PM-344 Capstone Project

    The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project. Depending on the student's employability strand within the programme, the project may be laboratory, data, or education-based, but it will always involve a research question that is drawn from the literature, focused on a topic relevant to medical science. It will ask a novel research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through creating an introductory presentation on the project background, and a written dissertation and oral presentation on their research conclusions.

  • PMIM02 Health Data Modelling

    Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets. Module leader is Dr Joanne Demmler

  • PMIM102 Scientific Computing and Health Care

    The module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dan Thayer

  • PMIM202 Health Data Modelling

    Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dr Pete Arnold

  • PMIM301 Using Secondary Health Data

    Students will study data quality and management, secondary uses of clinical data, service improvement and clinical audit. Academic skills are developed and enhanced by an introduction to quantitative research methodologies. Students will be introduced to statistical software such as SPSS.

Supervision

  • Possibly, we will pull the detail together over the coming months and then adjust the thesis title accordingly (current)

    PhD
    Other supervisor: Prof Gareth Stratton
  • Exploring the Potential Use of Telehealth to Improve the Diagnostic Process of Autism Spectrum Disorder in Wales, UK.«br /»«br /»«br /»«br /»«br /»«br /»«br /» (current)

    PhD
    Other supervisor: Dr Jodie Croxall
  • HAPPEN: The Health and Attainment of Pupils in a Primary Education Network (current)

    PhD
    Other supervisor: Prof Ronan Lyons
  • ACTIVE CHILDREN THROUGH INDIVIDUAL VOUCHERS – EVALUATION (ACTIVE): A MIXED METHOD RANDOMISED CONTROL TRIAL TO IMPROVE THE CARDIOVASCULAR FITNESS AND HEALTH OF TEENAGERS (current)

    PhD
    Other supervisor: Prof Damon Berridge
    Other supervisor: Dr Richard Fry
  • Repeatable and reusable research - Exploring the needs of users for a Data Portal for Disease Phenotyping (current)

    PhD
    Other supervisor: Dr Jodie Croxall
  • Mining free-text clinical notes for early prediction of the progression and recurrence of colorectal cancer. (current)

    PhD
    Other supervisor: Prof Ronan Lyons
  • ‘The lived experiences of Autistic Individuals transitioning throughout education: A Narrative analysis’. (current)

    PhD
    Other supervisor: Dr Claire Vogan Mccabe
  • 'Population based ankylosing spondylitis electronic cohort' (awarded 2017)

    PhD