Dr. Ee Wong

Assistant Professor

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Biography

Ee Ming Wong is an Adjunct Research Fellow at Monash University with a rich background in cancer epigenetics and DNA methylation. His research focuses on various risk factors and analyses related to breast cancer, contributing significantly to the understanding of genetic influences on cancer outcomes. Wong has been actively involved in external collaborations and has received competitive fellowships such as the Dora Lush Biomedical Postgraduate Scholarship in 2007, the Dyason Fellowship in 2016, and the Henry Rachael Ackman Postgraduate Scholarship in 2006. He has played a prominent role in mentoring and supervising internships, as well as participating in public events and peer review responsibilities for academic journals like BioTechniques and BMC Cancer. Wong's recent activities include speaking at conferences and contributing to community talks aimed at raising awareness about familial aspects of cancer. He is committed to advancing research that aligns with the UN Sustainable Development Goals, ensuring that his work contributes positively to global health challenges.

Research Interests

Experience

Adjunct Research Fellow

2017-07-01 — 2022-06-30

Monash University • Melbourne, VIC, Australia

Conducting research in cancer epigenetics, focusing on breast cancer, while mentoring students and junior researchers.

Awards

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Dora Lush Biomedical Postgraduate Scholarship

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Dyason Fellowship

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Henry Rachael Ackman Postgraduate Scholarship

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.