Dr. Michael Gantier

Associate Professor

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Biography

Professor Gantier is a research group leader at the Hudson Institute of Medical Research in Melbourne, Australia. His core research aims to define how nucleic acids (DNA and RNA) modulate immune responses, leveraging this knowledge to develop novel therapies for cancer and auto-inflammation. Over the past decade, his work has significantly advanced the understanding of Toll-Like Receptors 7 and 8 in sensing RNAs and the cGAS-STING pathway in detecting damaged DNA. His laboratory is currently focused on the generation of TLR7/8 agonists and inhibitors to improve mRNA-based vaccinations, as well as developing cGAS/STING inhibitors for treating auto-inflammatory disorders such as lupus and hyper-inflammatory conditions. Additionally, Professor Gantier has made crucial findings regarding endogenously produced small RNAs, known as microRNAs, which persist in cells and regulate inflammation. He has led the identification of microRNA sequence variations that control microRNA stability and can be utilized as novel disease biomarkers.

Research Interests

Experience

Adjunct Associate Professor

2005-11-08 — Present

Hudson Institute • Melbourne, Australia

Research leader focusing on immune response modulation through the study of nucleic acids.

Awards

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Milstein Young Investigator Award

2010-10-01
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Outstanding Young Investigator Award

2012-01-01
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Big Idea Award

2018-01-01

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.