Dr. James Trauer

Associate Professor

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Biography

Associate Professor James Trauer is a respiratory, sleep, and public health physician, leading the Epidemiological Modelling Unit at the School of Public Health and Preventive Medicine at Monash University. His recent work has focused on COVID-19, where he collaborates closely with the World Health Organization in the Western Pacific and South East Asia regions. His team has developed a modular platform to assist member states in epidemiological modelling for pandemic control, involving countries like the Philippines, Malaysia, and Vietnam. Notably, during the COVID-19 wave between 2020 and 2021, his team provided critical modelling support to the Victorian Department of Health during the Delta outbreak. In recognition of his contributions, Trauer received the Victorian Tall Poppy award and the Western Pacific Innovation Challenge award. His methodological expertise encompasses deterministic and stochastic modelling, agent-based simulations, applied mathematics, Bayesian inference, statistics, epidemiology, and software engineering. Prior to 2020, his work concentrated on tuberculosis epidemiology, supported by the Global Fund and various national programs. Trauer has been a key figure in the TB Modelling Analysis Consortium and works as a clinician in the Victorian Cystic Fibrosis Service. His research interests align with the UN Sustainable Development Goals, particularly in public health and infectious diseases.

Research Interests

Experience

Associate Professor (Research)

2016-01-01 — Present

Monash University • Melbourne, Australia

Lead the Epidemiological Modelling Unit, focusing on public health and infectious disease modelling.

Awards

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Victorian Tall Poppy Award

2021-01-01
#

Western Pacific Innovation Challenge Award

2021-01-01

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.