Senior Research Officer

Burnet Institute, Melbourne, Australia

Adjunct Research Fellow

Research Methodology, Faculty of Medicine, Nursing and Health Sciences, Monash University

My research interests lie at the intersection of mathematical modeling, data science, and real-world applications. Currently I am involved in computational epidemiology, working on model development and applications for the Optima Consortium for Decision Science through the Burnet Institute. This work involves the design, implementation, and application of quantitative models of disease progression and transmission, to predict the effect of public health policy and optimize allocative efficiency to meet policy objectives.

Previously, my research focused on physiologically based modeling of biological systems, bridging theory and experiment to provide new insights into the operation of the brain. My work focused on quantitative modeling to integrate structural, dynamical and functional observations into a unified framework that can provide a deeper understanding of complex systems than experiment or theory alone. I mainly worked with large-scale neuronal network models, using networks with anatomically-based connections to study the relationship between anatomical and functional connectivity, and how neuronal physiology may relate to transient dynamics. My PhD research was focused on EEG in sleep, relating the physical structure of the brain to its whole-brain activity over the sleep-wake cycle.