Dr. Rod Hunt

Professor

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Biography

Professor Rod Hunt is a clinician scientist working in the Newborn Intensive Care Unit at Monash Health. His research focuses on neonatal neurology, neuroimaging, and neurodevelopment, interrogating the mechanisms of perinatal brain injury and neuroprotection with a goal to reduce perinatal brain injury and improve long-term outcomes, further reducing the rates of cerebral palsy. Professor Hunt has extensive experience in the field, contributing significantly to the understanding and treatment of neonatal conditions. He has engaged in numerous research projects aimed at enhancing the health outcomes of newborns with brain injuries. Through his work, he aligns with the UN Sustainable Development Goals related to health and well-being, emphasizing the importance of education and academic qualifications in the healthcare sector. His educational background includes a PhD focused on the neuroendocrine axis and brain development in infants, as well as a Master's degree in Clinical Epidemiology, both obtained from prestigious universities in Australia.

Research Interests

Experience

Director of Research

2020-07-01 — Present

Cerebral Palsy Alliance • Victoria, Australia

Leading research initiatives aimed at improving outcomes for individuals with cerebral palsy.

Chair, Neonatal Sub-committee

2018-09-01 — Present

Consultative Council on Obstetric and Paediatric Mortality and Morbidity (CCOPMM) • Victoria, Australia

Overseeing neonatal health initiatives and policies.

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.