
Professor Dr. Edward Zimbudzi
Assistant Professor
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Biography
Edward Zimbudzi possesses extensive clinical and leadership management experience in complex healthcare environments, having collaborated with clinicians, nurses, and healthcare professionals to provide optimal care for individuals with kidney disease. He has held appointments across multiple health networks and esteemed international and local institutions, including Monash Health. Edward's PhD, based on a large multi-site NHMRC partnership project, focused on optimizing self-management interventions aimed at improving the health-related quality of life for patients with diabetes and chronic kidney disease. His work has significantly contributed to the development of the innovative Diabetes Kidney Service, co-designed with patients, General Practitioners, Endocrinologists, Nephrologists, and patient advocacy groups associated with Diabetes Australia and Kidney Health Australia. Edward has gained recognition through prestigious national and international awards for his impactful clinical and scientific research. He is passionate about sharing research skills with nursing and midwifery students and clinicians, enabling them to conduct research both independently and collaboratively. Additionally, Edward serves as a registered higher degrees supervisor, contributing expertise aligned with the UN Sustainable Development Goals.
Research Interests
Experience
Senior Lecturer
2010-01-01 — PresentMonash University • Melbourne, Australia
Engaged in teaching and research in the field of epidemiology and preventive medicine, focusing on chronic conditions.
Awards
Excellence Nursing/Midwifery Award
Annual Dialysis Nursing Scholarship
Requirements for Monash University
Master Program
Requirements
GPA Requirement
IELTS
TOEFL
Prerequisites
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.