Professor Emma McBryde
Professor of Infectious Diseases
Working groups
Background
Professor Emma McBryde is a research leader in infectious diseases modelling, specialising in translating complex transmission and within-host dynamics into practical tools for policy and public health action.
Emma's work spans tuberculosis, vector-borne diseases and respiratory pathogens, with a strong focus on forecasting, evaluating interventions, and supporting decision-makers in high-burden and resource-constrained settings. Emma combines mathematical modelling, epidemiology and data science to generate evidence that informs real-world strategies.
At Burnet, Emma collaborates across disciplines to develop innovative, scalable modelling platforms that strengthen health systems and guide effective, equitable responses to infectious disease threats.
Qualifications
- 2011: Master of Biostatistics, The University of Melbourne
- 2006: PhD, Queensland University of Technology
- 2003: FRACP Infectious Diseases
- 1994: MBBS, University of Queensland
Appointments
- 2001–present: Australasian Society of Infectious Diseases
- 2013–2025: Member of the Australian TB Forum
- Fellow of the Royal Australasian College of Physicians
Positions
- 2016–present: Senior Physician for the TB control unit, Torres and Cape HHS
- 2015–2025: Professor of Infectious Diseases, Modelling and Epidemiology, Australian Institute of Tropical Health and Medicine, James Cook University
- 2007–2015: Head of Epidemiology, Victorian Infectious Diseases Service, Doherty Institute
Burnet publications
View 26 moreEvaluating the effects of population mobility on transmission during the COVID-19 pandemic
Nature Communications
James McCracken Trauer et al
Outcomes and associated risk factors among hospitalisations attributed to invasive group A streptococcal disease in Northern Queensland, Australia: a 21-year population-based data linkage study
Infection
Himali Erandathie Ratnayake et al
Emerging epidemiology of invasive group a Streptococcus in tropical Australia: a 21-year population-based data linkage study
Infection
Himali Erandathie Ratnayake et al