Dr. Lauren Ayton

Associate Professor

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Biography

Lauren Ayton is an Associate Professor in the Department of Optometry and Vision Sciences at the University of Melbourne. She has extensive experience in retinal disease research, low vision, and vision restoration. Having completed her PhD in Optometry, Ayton has been recognized as a clinician-scientist and has worked at the Centre for Eye Research Australia. Her notable roles included serving as the Bionic Eye Clinical Team Leader, directing projects on age-related macular degeneration from 2010 to 2017, and leading Clinical Regulatory Affairs at Bionic Eye Technologies, Inc. in the USA. Ayton's passion for research innovation extends to her leadership in SPARK Melbourne, a research incubator program. Her research interests include inherited retinal diseases, sensory substitution, and gene therapy. She actively collaborates in qualitative research and clinical trials related to inherited retinal diseases, reflecting her commitment to advancing eye care and research excellence in her field.

Research Interests

Experience

Associate Professor

2019-01-01 — Present

University of Melbourne • Vancouver, BC, Canada

Conducts research in retinal disease and low vision while teaching the next generation of optometrists.

Bionic Eye Clinical Team Leader

2010-01-01 — 2017-01-01

Centre for Eye Research Australia • Melbourne, Australia

Led research and clinical projects focused on age-related macular degeneration.

Director of Clinical Regulatory Affairs

2017-01-01 — 2019-01-01

Bionic Eye Technologies, Inc. • USA

Oversaw clinical regulatory processes for a startup focused on bionic eye technologies.

Director

2019-01-01 — Present

SPARK Melbourne • Melbourne, Australia

Leads a research incubator program promoting industry collaboration and mentorship.

Requirements for University of Melbourne

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:16
Reading
Required:16
Writing
Required:19
Speaking
Required:19
Total
Required:81
PTE
Listening
Required:60
Reading
Required:60
Writing
Required:60
Speaking
Required:60
Overall
Required:64
Prerequisites
Undergraduate degree in a cognate discipline (Computer Science, Data Science, or Statistics) MAST10006 Calculus 2 MAST10007 Linear Algebra At least 12.5 credit points of computer programming subjects
Application Checklist
  • Academic Transcripts
  • Graduation Certificate
  • Evidence of English Proficiency
  • CV/Resume
  • Statement of Purpose