My research falls within the intersection of complex systems science and cognitive science, in the approach of embodied dynamicism. This approach studies how cognitive processes emerge from the nonlinear and circular causality of continuous sensorimotor interactions involving the brain, body, and environment. Through this dynamical unfolding, agents come to control their behavior, define a niche, and bring forth a world rich with significance.

I pursue this perspective with the computational methodologies of evolutionary robotics, in which minimal dynamical models of cognition are evolved with genetic algorithms, and then the resulting systems are analyzed with dynamical systems theory to uncover their underlying strategies.