Dr. Jacqueline Flynn

Assistant Professor

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Biography

Jacqueline Flynn is an adjunct research fellow at Monash University, specializing in chronic disease research within the Rheumatology Research Division. She leads projects focused on developing novel therapeutics for systemic lupus erythematosus (SLE) and is passionate about clinical immunology. Her expertise encompasses a diverse skill set including human immunology, clinical trials, and translational research. Flynn utilizes fundamental biology techniques to translate her research findings into actionable strategies aimed at decreasing the burden of diseases. Over the years, she has made significant contributions to the development of new vaccine delivery systems and advocated for necessary health policy changes that provide new knowledge on a global scale. Her research vision is directed towards improving the health of individuals suffering from chronic diseases by providing innovative therapeutics for millions worldwide, aligning her work with the UN Sustainable Development Goals established in 2015.

Research Interests

Experience

Adjunct Research Fellow

2019-01-01 — Present

Monash University • Melbourne, Australia

Leading projects in chronic disease research, focusing on developing novel therapeutics for systemic lupus erythematosus.

Awards

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AFAS Fellowship

2014-01-01
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RMIT Vice Chancellor’s Postdoctoral Fellowship

2015-01-01

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.