About me
Hi! I'm a postdoc at the Centre for Complex Systems within the University of Sydney. Originally pursuing a career in field robotics, my focus has more recently shifted to studying the distributed computation of complex systems, quantifying computation through data-driven methods in a diverse range of applications: from neuroscience to epidemics.
My studies of distributed and autonomous systems have culminated in many peer-reviewed articles in high impact venues such as Nature Communications, Science Advances, and Science Robotics, as well as several-hundred citations, and an h-index of twelve. My research has been featured both online and in print at a number of media outlets such as Nature, Forbes, The Guardian, The Sydney Morning Herald, the Australian Broadcasting Agency, and many more.
The science of complexity
The dynamics of complex systems offer clues towards unravelling some of the most intriguing mysteries in science, society, and the interaction of humans with our environment. The key characteristic of all of these challenges is that they involve a multitude of seemingly random interactions between individual elements with no obvious pattern, and no obvious way of predicting their behaviour. They allow us to ask such questions as:
- How do neurons interact and operate as a brain?
- Why do some diseases lead to an epidemic while others come and go?
- How do sports teams act in a coordinated way to win matches with little communication between players?
By casting such problems in the complex systems framework, powerful new and emerging analytical tools become available that reveal patterns where none appear to exist, and enable foresight in the face of unpredictability.
My interest is in developing new methods in complexity analysis and applying them to high impact problems that are linked by the ideas of distributed computing—the memory and communication of data. So far I have made progress towards this goal in terms of theoretical results that I have applied to problems in robotics, epidemiology, and neuroscience. I hope to expand this line of enquiry by producing statistical tools that study the interrelationships of complex systems and explicitly address important real-world constraints of datasets.
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