Aveni Haynes


  • The University of Western Australia (M560), 35 Stirling Highway,

    6009 Perth


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Personal profile


Currently a JDRF Post-doctoral Fellow/Senior Research Fellow based at the Telethon Kids Institute in Perth, leading the epidemiology research theme in the Children’s Diabetes Centre. Investigator and Epidemiology/Toxicology theme leader in the Australia-wide Environmental Determinants of Islet Autoimmunity (ENDIA) pregnancy early-childhood type 1 at risk cohort study (www.endia.org.au).  Scientific steering committee member of the Western Australian ORIGINs pregnancy birth cohort study, member of the APEG AIHW diabetes registry committee and an investigator in the 2021-2025 JDRF Global Centre of Excellence based in Perth.

Research interests include the aetiology and natural history of childhood type 1 diabetes with a particular focus on the role of factors during pregnancy and early life and undertaking studies to inform future strategies aimed at predicting, delaying and/or preventing this condition. Passionate about making a real-world difference to the lives of children and families.

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

Education/Academic qualification

Epidemiology of childhood diabetes, PhD

Award Date: 3 Dec 2013

Computer programming, Diploma of Business Programming

Award Date: 1 Dec 2001

Medicine, MBBChir, Addenbrooke's Hospital


Award Date: 1 Dec 1995

Medicine, BA (Hons), University of Cambridge


Award Date: 1 Jul 1993

External positions

Senior Research Fellow, Telethon Kids Institute

2012 → …

Industry keywords

  • Health
  • Children and Young People
  • Medicine and Pharma

Research expertise keywords

  • Epidemiology
  • Clinical Research
  • DOHaD
  • Longitudinal data (analysis of)
  • Record linkage research methodology
  • Statistical analysis
  • Childhood diabetes


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