Dr. Daniel Gray

Instructor

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Biography

Daniel Gray is an Adjunct Lecturer at Monash University whose research focuses on the immune system’s response to invading microbes and its role in cancer and autoimmune diseases. His work investigates defects in the decision-making processes of immune cells that may lead to immunodeficiency, cancer, and autoimmune disorders such as multiple sclerosis and type 1 diabetes. His laboratory studies the crucial aspect of programmed cell death in immune cells, seeking to understand the 'choreography' that dictates immune responses under both healthy and diseased conditions. By employing novel pre-clinical models and advanced imaging techniques like mass cytometry and lightsheet imaging, he explores the complex mechanisms that ensure the immune system does not attack the body’s own tissues, a concept known as immunological tolerance. His recent projects include investigating the processes that contribute to cancer resistance to treatment, particularly focusing on chronic lymphocytic leukaemia (CLL), which is prevalent in Australia. With insights from his research, he aims to design innovative treatments for immune disorders and cancer, thus significantly advancing therapeutic approaches in these fields.

Research Interests

Experience

Adjunct Lecturer

2010-01-01 — Present

Monash University • Melbourne, Australia

Teaching and conducting research in immunology, focusing on the immune system's role in cancer and autoimmune diseases.

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.