Emma McBryde

My research focus encompasses a broad range of methods – Bayesian Inference, statistical models, compartmental models, stochastic models, social network analysis, forecasting methods- and a broad interest in emerging pathogens –tuberculosis, influenza and hospital associated pathogens and emerging infectious diseases including SARS, Ebola and COVID-19. I have led research teams to complete international consultancies, modeling of tuberculosis control in our region, and international research collaborations in the area of tuberculosis, healthcare associated infections SARS and Ebola and COVID-19.

I have diverse cross-disciplinary skills, as an infectious diseases physician (FRACP) and mathematical modeler (PhD -QUT), epidemiologist, and biostatistician (MBios Uni Melb). Since 2003, I have worked on interleaving clinical research with mathematical modeling and simulation of infectious diseases transmission. In this time, I have developed the ability to communicate and collaborate across the disciplines of mathematics, biostatistics, epidemiology, public health and clinical infectious diseases. I lead a team of highly skilled mathematicians and biostatisticians, epidemiologists.

I am currently the Professor of Infectious Diseases Epidemiology at the University of Queensland Centre for Clinical Research, working with the ODeSI program. I continue clinical work as a physician for the TB control unit at the Torres Strait and Cape York Health Service. My collaborators across Australia include as a chief investigator on two Centres for Research Excellence in forecasting and in tuberculosis. I work with researchers in major national (Monash University, Australian National University, Curtin University and the Doherty Institute, UWA, UQ) and international universities (Imperial College, LSHTM, Harvard, Stanford, Oxford, Mahidol).

COVID-19 work to date includes providing modelling and advice for: the commonwealth Government, Victorian State Government, OzSage Indigenous working group, and leading the AUS-CMI Australian Covid-19 modelling initiative group, the Global Fund against Malaria TB and AIDS, and the World Health Organization in conjunction with countries in the Asia Pacific Regions.

My major methodlogical areas of research in active development are (1) forecasting (2) scenario analysis for decision support (3) disease dynamic insights through data analysis including Bayesian inference and machine learning.