Tom Lymburn

Tom Lymburn is a Research Fellow at the School of Social Sciences, The University of Western Australia, affiliated with the Planning and Transport Research Centre. He holds a PhD in Applied Mathematics (2021) and a B.Phil. in Physics and Mathematics (2017), both from UWA. His research focuses on complex systems and artificial intelligence, including synchronization, unconventional computation, and optimization of complex models.

Education:

• Doctor of Philosophy in Applied Mathematics, UWA (2019–2021)
• Bachelor of Philosophy in Physics and Mathematics, UWA (2017)

Research Interests: Tom’s work integrates dynamical systems, Bayesian methods, and reservoir computing to address challenges in transportation modeling, machine learning, and complex systems. He explores synchronization in neural networks and applies statistical frameworks to optimize traffic systems and computational models.

Key Contributions: His recent work includes Bayesian approaches for traffic parameter estimation and advancing reservoir computing’s theoretical foundations. These efforts contribute to safer transportation infrastructure and AI innovation.

Awards:

• School of Social Sciences Award in Research Impact and Innovation (2022)

Grants & Projects:

• Roundabout Safety Review (2025–2026): Uses drone analytics to enhance road safety.
• Safer Pathways (2025–2027): Improves active transport infrastructure via video analytics and community reporting.

Collaborations: Works with the Planning and Transport Research Centre, collaborating on interdisciplinary projects to bridge computational theory and real-world transport challenges.