Conor is a PhD student interested in the basic principles underlying the dynamics and organization of complex systems. In particular, he investigates the notion that such systems, from single cells to economies, look as if they implicitly ‘model’ their surroundings. In pursuing this idea, he relies heavily on a theoretical framework called the Free Energy Principle. He completed a BA in Neuroscience at Swarthmore College and a MSc. in Neuroscience at the University of Göttingen, with a focus on computational neuroscience and active inference. Currently, Conor borrows methods from non-equilibrium thermodynamics, control theory, and Bayesian inference to understand emergent inference in collective behavioral systems.