Published multiple academic papers covering areas such as neuroscience of consciousness, macroeconomic stability, and complex system analysis. For example, published a paper on a unified taxonomy of information dynamics in Proc Natl Acad Sci USA; an analysis of zero-growth economics using an agent-based model in ArXiv; and a study on statistical diversity distinguishing global states of consciousness in biorXiv.
Research Experience
Associate Professor, Deputy Director of Sussex Centre for Consciousness Science, and member of the Department of Informatics. Research projects involve neuroscience of consciousness, complex system analysis, macroeconomic stability, and ecosystem health. Applies time series analysis and machine learning techniques for drought forecasting.
Education
No specific educational background information provided.
Background
Interdisciplinary researcher developing complexity science and data science tools, applying them across multiple domains. Background in mathematics and theoretical physics. Main research focus is on neuroscience of consciousness, particularly approaches inspired by integrated information theory. Research interests include the mathematical properties of measures of complexity, emergence, and information integration, both analytically and through simulation, and their application to brain imaging data from wakeful rest, anaesthesia, sleep, and psychedelic states. Also interested in complex systems and machine learning approaches to macroeconomics, exploring economic stability and the ecological question of post-growth economy stability.
Miscellany
Writes blog posts on topics including science and spirituality, integrated information theory, macroeconomics, and the stability of zero-growth economics.