Dr. Anne Fletcher

Associate Professor

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Biography

Associate Professor Anne Fletcher heads the Stromal Immunology Laboratory at Monash University. Her research group focuses on the study of fibroblasts and their immunological roles in health and disease. She completed her PhD in Immunology at Monash University, where she researched thymic stromal cells and autoimmune diseases under Professor Richard Boyd. She undertook postdoctoral work at Harvard Medical School and Dana-Farber Cancer Institute, exploring immune tolerance with Associate Professor Shannon Turley. In 2014, she was recruited to the University of Birmingham to lead a human stromal immunology research group. Since relocating to Australia in 2018, she has continued her work at the Monash Biomedicine Discovery Institute. Her research centers around fibroblast-like stromal cells found in secondary lymphoid organs and tumors, investigating their roles in guiding leukocyte interaction and function. This work aims at developing therapeutic strategies targeting these cells to manipulate immune responses in cancer.

Research Interests

Experience

Associate Professor (Research)

2018-01-01 — Present

Monash University • Clayton, Australia

Leading the Stromal Immunology Laboratory focusing on fibroblasts and their immunological roles.

Awards

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ASI Annual Publication Prize

2005-01-01
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Kay Patterson Award

2007-01-01
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Key Opinion Leader Immunoncology

2019-01-01
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Nairn Medal Immunology

2002-01-01
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NHMRC CJ Martin Postdoctoral Fellowship

2009-01-01

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.