Dr. Amanda Thrift

Professor

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Biography

Emeritus Professor Thrift previously led the Stroke Ageing Research (STAR) in the School of Clinical Sciences at Monash Health from 2016 to 2022. She served as an NHMRC Senior Research Fellow and was involved in the NHMRC Research Committee from 2009 to 2015. Thrift was the past President of the Stroke Society Australasia between 2007 and 2010 and was the Director of the National Stroke Foundation from 2014 to 2022. She obtained her PhD in epidemiology from Monash University, focusing on risk factors for intracerebral haemorrhage, and has established a reputable research profile in stroke epidemiology. Thrift has led significant research projects, such as the North East Melbourne Stroke Incidence Study since 1995, leading to over 50 publications and extensive collaborations. She is currently initiating a research program targeting vascular diseases in hard-to-reach rural communities in India. Throughout her career, she has secured continuous research funding, totalling $17 million. Thrift has also contributed to numerous advisory committees and has been involved in various public health initiatives aimed at improving stroke care.

Research Interests

Experience

Emeritus Professor

2016-01-01 — 2022-01-01

Monash University • Melbourne, VIC, Australia

Led the Stroke Ageing Research within the School of Clinical Sciences.

Awards

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Honorary Life Membership

2023-01-01
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Excellence Stroke Award

2017-08-24

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.