Leads the Dynamics and Neural Systems Group; research involves using methods from statistics and physics to find and explain patterns in the brain, as well as employing techniques from statistical physics, information theory, and machine learning to extract and understand patterns emerging from big datasets of complex real-world systems.
Background
Leads the Dynamics and Neural Systems Group in the School of Physics at Sydney University; has a diverse and interdisciplinary background in physics, dynamical systems, brain modeling, and statistical learning; research interests include neurophysics and complex systems.
Miscellany
Conducts research on a variety of systems including earthquakes, heart rates, share prices, and climate; developed an interactive website, CompEngine, that allows users to upload and explore connections between their time-series data and a library of thousands.