Professor Sinead Brophy

Professor Sinead Brophy
Professor (CIPHER)
Biomedical Sciences
Telephone: (01792) 602058
Room: Cellular Office - 205
Second Floor
Data Science Building
Singleton Campus

Publications

  1. & (2019). Mild-to-moderate renal pelvis dilatation identified during pregnancy and hospital admissions in childhood: An electronic birth cohort study in Wales, UK. PLOS Medicine 16(7), e1002859
  2. & (2019). Mixed-methods evaluation comparing the impact of two different mindfulness approaches on stress, anxiety and depression in school teachers. BMJ Open 9(7), e025686
  3. & (2019). Shining the light on eating disorders, incidence, prognosis and profiling of patients in primary and secondary care: national data linkage study. The British Journal of Psychiatry, 1-8.
  4. & (2019). Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records. Pediatric Obesity 14(7), e12512
  5. & (2019). Curriculum-based outdoor learning for children aged 9-11: A qualitative analysis of pupils’ and teachers’ views. PLOS ONE 14(5), e0212242

See more...

Teaching

  • PM-304 Biomolecular Research Project

    *

  • 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

  • Physical literacy of children and perceptions of physical development from primary to secondary age children«br /»«br /»«br /»«br /»«br /»«br /»«br /»«br /»«br /»«br /»«br /»«br /»«br /»«br /» (current)

    Student name:
    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 /»«br /»«br /»«br /»«br /»«br /»«br /»«br /»«br /» (current)

    Student name:
    PhD
    Other supervisor: Dr Jodie Croxall

  • Living with Autism: a narrative inquiry into the lived experiences of students with Autism Spectrum Condition's transitioning throughout education and into university (current)

    Student name:
    PhD
    Other supervisor: Dr Claire Vogan Mccabe

  • HAPPEN: Health and Attainment of Pupils involved in a Primary Education Network (current)

    Student name:
    PhD
    Other supervisor: Prof Ronan Lyons

  • Active Children Through Individual Vouchers – Evaluation (ACTIVE): a mixed method randomised control trial to improve the health and socialisation of teenagers. (current)

    Student name:
    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)

    Student name:
    PhD
    Other supervisor: Dr Shang-Ming Zhou

  • 'Population based ankylosing spondylitis electronic cohort' (awarded 2017)

    Student name:
    PhD

Calling from outside the UK?

+44 1792 602058