Taryn Ambrosi


  • UWA School of Population and Global Health (M431), Corner of Clifton St and Gordon St, Clifton St Building

    6009 Perth


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Personal profile


Taryn Ambrosi is a Research Fellow at the Neuropsychiatric Epidemiology Research Unit (NERU) in the University of Western Australia (UWA) School of Population and Global Health.

She is a biostatistician with a background in engineering and mathematics that provides a strong foundation of analytical, programming and problem-solving skills.  Her current work uses linked register and longitudinal survey data to assess mortality and physical health comorbidity in a national cohort of people with high impact psychosis, with the goal of improving their health outcomes.  Taryn’s research interests include reproductive pathology, perinatal mental health and the epidemiology of schizophrenia and other psychotic disorders.  Before joining NERU, Taryn worked in statistical consulting and mechanical engineering roles in the private sector.

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
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

Statistics, Master of Biostatistics, Reproductive pathology and obstetric complications in a cohort of women with schizophrenia, Macquarie University


Award Date: 1 Sept 2015

Statistics, Master of Applied Statistics, The effect of follicle stimulating hormone dosage on assisted reproductive technology outcomes, Macquarie University


Award Date: 29 Sept 2005

Mathematics, Bachelor of Science (Mathematics Data Analysis and Modelling), Monash University (Australia)


Award Date: 23 Apr 2002

Engineering, Bachelor of Engineering (Mechanical), Curtin University


Award Date: 28 Feb 1990

Research expertise keywords

  • Mental health service utilisation in the perinatal period
  • Perinatal outomes of infants born to women with severe mental illness
  • Biostatistics
  • Applied statistics
  • Mathematics


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