Dr. Ron Firestein

Professor

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Biography

Professor Ron Firestein is a physician-scientist specialized in Cancer Research, Oncology, and Translational Medicine at Hudson Institute of Medical Research. He is double board certified in Anatomic and Molecular Pathology. Professor Firestein earned his Bachelor of Arts degree from the University of Pennsylvania in Biology, followed by his MD/PhD from Stanford University as part of the Medical Scientist Training Program in 2002. His postgraduate training included a residency in Anatomic Pathology at Brigham and Women's Hospital and a fellowship in Molecular Pathology at Harvard Medical School. In addition to leading the Centre for Cancer Research at Hudson Institute since August 2015, he has overseen basic and clinical translational research. His research utilizes next-generation sequencing technologies and high-throughput functional screens, focusing on the molecular pathology of colon cancer. His extensive work has led to numerous peer-reviewed publications in high-impact journals such as Nature and Cancer Cell, as well as ten patents. Professor Firestein is actively involved in research projects related to cancer therapeutics and genetics, contributing to advancements in the field.

Research Interests

Experience

Professor

2015-08-01 — Present

Hudson Institute of Medical Research • Melbourne, VIC, Australia

Head of Centre for Cancer Research, focusing on translational research and molecular pathology.

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.