Dr. Anna Wang

Assistant Professor

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Biography

Anna Wang is an adjunct lecturer at the School of Public Health and Preventive Medicine at Monash University, with a research fellowship at the university's Suzhou Research Institute since August 2022. She earned her Ph.D. in Health Economics from the University of Nottingham, UK, and has a strong background in health economics and nutritional epidemiology. Her research contributions focus on the interdisciplinary area of digital dietary interventions and health policy. Notably, she has published papers in high-impact journals such as Technological Forecasting & Social Change and Journal of Hazardous Materials. Dr. Wang has secured multiple external research projects from 2024 to 2025, with significant funding illustrating her research competitiveness and resource acquisition capabilities. Her research interests include discrete choice experiments, non-pharmaceutical interventions, and cost-effectiveness analysis in the context of national health policies. She is affiliated as an external supervisor with Southeast University in Jiangsu, China.

Research Interests

Experience

Adjunct Lecturer

2022-08-01 — Present

Monash University • Melbourne, VIC

Teaching and conducting research in the School of Public Health and Preventive Medicine.

Research Fellow

2022-08-01 — Present

Monash Suzhou Research Institute • Suzhou, China

Research in health economics related to digital dietary interventions.

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.