Dr. Polly Yap

Assistant Professor

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Biography

Polly Yap obtained her PhD in Medical Microbiology from the University of Malaya, focusing her thesis on the temporal dynamics of the gut microbiome metabolome in preterm neonates. She characterized multidrug-resistant bacteria isolated from neonates using microbial genomic methods. In 2021, she joined Monash University Malaysia as a postdoctoral fellow to investigate health and genomic transmission dynamics of multidrug-resistant Gram-negative bacteria. Her work involves isolating clinical, water, soil samples, and studying healthy Malaysian and indigenous (Orang Asli) populations. This research adopts a multidisciplinary approach, integrating microbiology, microbial genomics, microbiomes, and health data to explore the complex interactions of environmental and human health factors, particularly in identifying antimicrobial resistance (AMR) transmission patterns for targeted interventions. In 2022, she was a principal investigator in an international partnership to enhance capacity building for viral infection surveillance in low- and middle-income countries, utilizing portable Oxford Nanopore sequencing technologies. Polly is committed to building sustainable local research capacity through international collaborations and effective skills transfer.

Research Interests

Experience

Lecturer

2021-01-01 — Present

Monash University Malaysia • Melbourne, VIC, Australia

Teaching and research in Medical Microbiology and related fields.

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.