Taran Rallings is a computational ecologist with 11 years’ experience applying mechanistic models to ecological forecasting and land management. As a Research Associate at Imperial College London he leads development of the animal module for the Virtual Ecosystem project, integrating demographics, herbivory, predation and behaviour into a 3D abiotic framework to enable forecasts under novel management and climate scenarios. His PhD in Quantitative and Systems Biology from UC Merced focused on body size as a driver of plant–herbivore food‑web structure, blending adaptive dynamical systems with conservation-relevant insights about large-herbivore dynamics. Comfortable with agent-based modelling, spatial data and ML-trained methods from NSF traineeships, he combines theoretical rigor with practical data workflows to translate ecological theory into policy-relevant tools.
11 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Integrated Sciences, Bachelor’s Degree, Integrated Sciences at The University of British Columbia
Doctor of Philosophy - PhD, Quantitative and Systems Biology, Doctor of Philosophy - PhD, Quantitative and Systems Biology at University of California, Merced
Contributions:2 PRs, 2 pushes, 2 branches in 1 day
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Taran Rallings - Research Associate, Computational Ecology