Lachlan G. Burton

School of Electronic Engineering

and Computer Science

Queen Mary University of London

I am an applied mathematician and a Postdoctoral Research Assistant in the School of Electronic Engineering and Computer Science at Queen Mary University of London, working with Dr Athen Ma.

My work combines statistical inference, complex networks and dynamical systems. In my recent work I use Bayesian stochastic block models to uncover hidden group structure in ecological networks, and large-scale simulations to study how adaptive food webs respond to perturbations, including rare, high-impact events such as extinction cascades. My PhD at the University of Sydney was on transient chaos in open dynamical systems.

Interests: Dynamical Systems and Chaos · Bayesian Inference · Machine Learning · Complex Systems · Time Series · AI

selected publications

Submitted

Substructures underpin robustness in ecological networks

Lachlan G. Burton, Yujie Zeng, Eoin J. O’Gorman, and 5 more authors

2026

Commun. E&E

Core reorganisation in food webs buffers ecosystems against warming

Pablo A. P. Antiqueira, Athen Ma, Pavel Kratina, and 4 more authors

Communications Earth & Environment, 2026

DOI Bib

@article{antiqueira2026core,
  title = {Core reorganisation in food webs buffers ecosystems against warming},
  author = {Antiqueira, Pablo A. P. and Ma, Athen and Kratina, Pavel and Latora, Vito and Burton, Lachlan G. and Zhao, Lei and O'Gorman, Eoin J.},
  journal = {Communications Earth \& Environment},
  year = {2026},
  doi = {10.1038/s43247-026-03813-4}
}

Phys. Rev. E

Probabilistic description of dissipative chaotic scattering

Lachlan G Burton, Holger R Dullin, and Eduardo G Altmann

Physical Review E, 2023

DOI Bib Code

@article{burton2023probabilistic,
  title = {Probabilistic description of dissipative chaotic scattering},
  author = {Burton, Lachlan G and Dullin, Holger R and Altmann, Eduardo G},
  journal = {Physical Review E},
  volume = {108},
  number = {5},
  pages = {054223},
  year = {2023},
  publisher = {American Physical Society},
  doi = {10.1103/PhysRevE.108.054223}
}