Dr. William Bradley

Assistant Professor

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Biography

William Bradley is an Adjunct Clinical Associate Professor in Anaesthesia Teaching and Research at Monash University and a senior lecturer in the Department of Perioperative Medicine. He divides his time between public work at Alfred Hospital and private practice. He has served as the past Chair of the Airway Management Special Interest Group for the Australian and New Zealand College of Anaesthetists, contributing to the development of clinical guidelines in airway management emergencies. His teaching, lecturing, and involvement in national and international meetings focus on simulation training and education in complex anaesthesia cases, including airway management and neuroanaesthesia. He has presented at significant conferences such as the Inaugural World Airway Management Meeting and has been instrumental in creating educational resources such as the ANZCA Airway Assessment chapter in the Oxford Textbook of Anaesthesia. His clinical interests encompass a variety of fields including vascular surgery, endocrine surgery, and trauma. He actively participates in professional development through the Australian New Zealand College of Anaesthetists and is committed to teaching and improving practices in difficult airway scenarios. Bradley resides in Melbourne with his wife and four children.

Research Interests

Courses

Advanced Airway Management Refresher Course

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.