Shannon Algar

Shannon Algar is a Lecturer in the School of Physics, Maths and Computing at the University of Western Australia (UWA), specializing in Mathematics and Statistics. They are a post-doctoral researcher and Forrest Prospect Fellow within the Complex Systems Group, focusing on systems modeling with applications in complexity, swarm intelligence, reservoir computing, and time series analysis. Their work emphasizes interdisciplinary applications, particularly in improving animal welfare through early stress detection and understanding biological rhythms.

Research interests include complex systems dynamics, topological data analysis, network analysis, and applying mathematical techniques to real-world challenges such as epidemiology (e.g., mobility data analysis for pandemic control) and agricultural science. Their recent publications span topics like embedding techniques, phase space characterization, and network-based change point detection. Notable collaborations involve agricultural scientists and epidemiologists to address practical problems in livestock welfare and public health.

• Grants: Investigating heat stress in ewes (Meat & Livestock Australia, 2021–2025) and a Forrest Research Foundation Fellowship (2021–2022).
• Awards: Forrest Prospect Fellow (2021–2022).

Algar actively promotes mathematics in interdisciplinary contexts, contributing to UN Sustainable Development Goals through their research.