I investigate how intelligent systems construct, maintain and transform
representations of themselves, other agents and the world. My research seeks
general principles that explain these relationships across brains, minds and
artificial systems. I combine neuroscience, psychology and computational theory
to develop testable frameworks for understanding conscious experience, social
cognition and adaptive behaviour. My current work uses neuroimaging,
computational modelling and machine learning, but the longer-term goal is to
identify unifying principles that connect insights across disciplines.
I am also a systems theorist curious to explore
life, the universe and everything, with intellectual roots grounded in psychology, philosophy and physics:
The boundaries we draw between self and other, mind and world, are the fossilised pathways of functional necessity.
Neuroscience increasingly reveals that what we experience as external arises from a unified modelling process.