Dr. Darshini Ayton

Associate Professor

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Biography

Associate Professor Darshini Ayton is a National Health Medical Research Council (NHMRC) emerging leader fellow (2021-2025), leading the Ageing Health Services Research Team at the School of Public Health and Preventive Medicine. She is a chief investigator at the NHMRC Centre of Research Excellence and the primary investigator on an ARC Discovery Project and Medical Research Future Fund National Centre for Healthy Ageing grants. Darshini has established partnerships with multiple industry and health service aged care providers. Her research links acute care with community residential aged care, encompassing dementia prevention and innovative diagnostics to improve quality care and quality of life. She has a strong track record in health and social care research, with expertise in qualitative methods, community involvement, clinical registries, randomized controlled trials, and implementation science. Her work is grounded in co-design principles and participatory action research, ensuring that interventions are evidence-based and deliver meaningful care. Currently, Darshini is exploring how potential medical technologies and artificial intelligence can transform age care and health service delivery, focusing on innovations that enhance person-centered care, improve workforce support, and drive system-wide improvements.

Research Interests

Experience

Associate Professor

2016-01-01 — Present

Monash University • Melbourne, Australia

Leading research in ageing health services, focusing on dementia prevention and health care innovation.

Awards

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Henry Krum Award

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Teaching Excellence Award – Lecturer of the Year

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Sir Richard Peto Prize

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.