Sabin is currently focused on developing interdisciplinary tools for modelling complex systems using machine learning. At CSER, his emphasis was on the mathematical modelling of long-term societal evolution and potential collapse, having worked on several historical cases of collapse with patterns that generalise to modern society. The methods employed include dynamical systems theory, network science, stochastic modelling and agent based computing. He has a background in mathematical physics, with a Master's degree from the University of Edinburgh. He obtained a PhD in Complex Systems Simulation from the University of Southampton, where he started his research on the mathematical modelling of societal collapse.