Dr. Phillip Darcy

Associate Professor

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Biography

Professor Phil Darcy currently holds the position of NHMRC Senior Research Fellow and Group Leader at the Peter MacCallum Cancer Centre. His laboratory focuses on developing novel T cell-based immunotherapy approaches for cancer using preclinical mouse models while translating findings to human patients. Specifically, his research is centered on the development of gene-modified mouse and human T cells that express chimeric antigen receptors (CARs) to effectively target and eradicate cancer in mice. The laboratory’s work includes leading a phase clinical trial at the Peter MacCallum Cancer Centre involving patients with acute myeloid leukaemia and continues to advance similar approaches for treating patients with non-small cell lung carcinoma. Additionally, the lab is dedicated to the development of combined immune-based therapies for cancer. Professor Darcy's expertise relates closely to the United Nations Sustainable Development Goals, which aim to end poverty, protect the planet, and ensure prosperity. His research areas include cancer immunology, T-cell therapies, and clinical translation, with significant collaborations across various countries to enhance research outcomes.

Research Interests

Experience

Adjunct Associate Professor

2022-01-01 — 2025-12-31

Peter MacCallum Cancer Centre • Melbourne, Australia

Leading research and clinical trials in immunotherapy.

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.