Dr. Brian Drew

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Biography

Associate Professor Drew completed his PhD studies in 2008 at Monash University and undertook post-doctoral studies as a NHMRC CJ Martin Fellow at the David Geffen School of Medicine at UCLA, USA from 2009 to 2013. He returned to the Baker Institute in 2013 to establish his own research program as a Baker Institute Fellow, Level II National Heart Foundation Future Leader Fellow. He has been successful in attracting over $5 million in research funding as the chief investigator for grants from the NHMRC, National Heart Foundation, and Diabetes Australia Research Program. A/Prof Drew co-leads the Obesity Lipids Program and co-chairs the Research Training Education Committee while managing the preclinical phenotyping facility at Baker Institute. His research team examines the molecular underpinnings of cellular and tissue energy metabolism, focusing on pathways with therapeutic potential to treat cardiometabolic disorders. A/Prof Drew has established collaborations with industry partners such as Ionis Therapeutics and CSL, and has published in leading journals including Nature, Cell Metabolism, Science Translational Medicine, European Heart Journal, Circulation, PNAS, and Diabetes.

Research Interests

Experience

Adjunct Professor

2013-01-01 — Present

Baker Institute • Melbourne, VIC, Australia

Head of Molecular Metabolism Ageing Laboratory, managing research and leading funding initiatives.

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.