Bridget is a Rhodes Scholar pursuing a DPhil in Mathematics at the University of Oxford, supervised by Professor Renaud Lambiotte and Professor Doyne Farmer.
Her research is focused on developing theoretical tools grounded in information science and network science to model, characterise and assess uncertainty in complex real-world systems.
Bridget applies the outcomes of her research to gain meaningful insights into many systems; currently, she is working to improve prediction quality for economic models and designing better tools to measure temporal relationships in online social networks.
About me
Before moving to the UK, I was based at The University of Adelaide where my research focused on modelling and measuring information flows on online social networks.
I started this research as a Westpac Future Leaders Scholar while studying for my MPhil in Applied Mathematics and Statistics. My thesis titled "Measuring and modelling information flows in real-world networks" was awarded the Dean’s Commendation for Research Thesis Excellence.
Alongside my research, I am also passionate about working with policy and decision-makers, sharing the outcomes of my work to improve our capacity to engage in complex settings.
In 2021, I co-authored the Youth National Security Strategy, check it out here.
Recent highlights
At NetSci 2024, I was an invited speaker at the YSI Focus Session where I spoke about information theoretic estimators in finance. At the conference, I presented a recent project on capturing temporal associations from social media data.
In 2024, I attended the Complexity Global School run by Santa Fe Institute. I also attended the WINQ Program on Complex and Quantum Systems hosted by Nordita.
In 2023, I was a visiting researcher at The University of Tokyo, where I worked with Professor Ryota Kobayashi and Professor Takaaki Aoki.
If you’re interested in my work on online social networks, you can hear me discuss mis- and dis-information on this podcast!