Dr. Christina Ekegren

Associate Professor

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Biography

Christina Ekegren is an Associate Professor at Monash University, leading the Rehabilitation Stream of the Rehabilitation, Ageing and Independent Living (RAIL) Research Centre. Renowned for her expertise in physical activity among clinical populations, her primary focus is on improving outcomes for hospitalized older adults. A recognized leader in novel physical activity measurement approaches, she spearheads the International Physical Activity Vital Signs Consortium within hospital settings. Christina was awarded the National Health Medical Research Early Career Fellowship, securing $10 million in collaborative research funding from government, industry, and academic sources. With a substantial background in physiotherapy, she has contributed to teaching and research at universities in Australia, the UK, and Canada. Currently registered as a physiotherapist, she holds honorary research fellowships at the Baker Heart and Diabetes Institute and the Emergency Trauma Centre at Alfred Health. Christina collaborates with various organizations, emphasizing the UN Sustainable Development Goals related to health and wellbeing.

Research Interests

Experience

Associate Professor

2016-01-01 — Present

Monash University • Melbourne, VIC, Australia

Associate Professor in the School of Primary and Allied Health Care and Rehabilitation, Ageing and Independent Living (RAIL) Research Centre.

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.