Paul So is a theoretical physicist specialized in dynamical systems analysis and its application to neuroscience. He received his Bachelor of Science in Physics and Mathematics from Harvey Mudd College in Claremont, California in 1988 and obtained his PhD from the Chaos Group at University of Maryland in College Park, Maryland in 1995. His work on dynamical systems spanned the development of control and observer techniques for high dimensional chaotic systems, theory and experimental work in quantum chaos, analysis of synchronization and coherence in chaotic systems, and the dynamical reconstruction of complex systems using unstable periodic orbits. The overarching goal of his research is the application of these tools from dynamical systems and other physical insights from statistical physics to a better understanding on the mechanisms for information processing in the brain and on dynamical causes related to different pathological neural diseases such as epilepsy and Parkinson’s disease.
School of Physics, Astronomy and Computational Sciences
The Krasnow Institute for Advanced Study
Mail Stop 2A1
George Mason University
Fairfax VA 22030-4444
Krasnow Institute Rm 114
paso at gmu dot edu