Rate My Professor Emma McBryde

Professor Emma McBryde serves as Professor of Infectious Diseases Modelling and Epidemiology at the Australian Institute of Tropical Health and Medicine, James Cook University. She is a qualified infectious diseases physician (FRACP), mathematical modeller holding a PhD from Queensland University of Technology, and biostatistician with a Master of Biostatistics from the University of Melbourne. Since 2003, she has specialized in integrating clinical research with mathematical modelling and simulation of infectious diseases transmission. Her expertise spans Bayesian inference, statistical models, compartmental models, stochastic models, social network analysis, and forecasting methods. Professor McBryde's research addresses tuberculosis, influenza, hospital-associated pathogens, and emerging infectious diseases including SARS, Ebola, and COVID-19. She currently leads physician efforts for the Tuberculosis Control Unit at the Torres Strait and Cape York Health Service.

Professor McBryde has directed research teams on international consultancies for tuberculosis control in the region and collaborations on tuberculosis, healthcare-associated infections, SARS, Ebola, and COVID-19. Her contributions include modelling and advisory support for the Australian Commonwealth Government, Victorian State Government, OzSage Indigenous working group, the Australian COVID-19 Modelling Initiative (AUS-CMI), the Global Fund against Malaria TB and AIDS, and the World Health Organization for Asia-Pacific countries. She collaborates with institutions such as Monash University, Australian National University, Curtin University, Doherty Institute, University of Western Australia, University of Queensland, Imperial College London, London School of Hygiene & Tropical Medicine, Harvard, Stanford, Oxford, and Mahidol University. Key publications encompass 'Clinical presentation, etiology, and outcome of infective endocarditis in the 21st century: the International Collaboration on Endocarditis-Prospective Cohort Study' (2009), 'Economic consequences of the COVID-19 outbreak: the need for epidemic preparedness' (2020), 'Urbanization: a problem for the rich and the poor?' (2020), 'Reproducibility of COVID-era infectious disease models' (2024), and 'Key lessons from the COVID-19 public health response in Australia' (2023). She leads a team of mathematicians, biostatisticians, and epidemiologists advancing forecasting, scenario analysis for decision support, and data analysis including machine learning.