The Brain as a System.
From Theory to Engineering.

Our work is at the intersection of neuroscience, physics, and applied mathematics. It explores how the brain encodes and processes information, and how we can use advanced mathematical and engineering tools to do so. My motivation is to understand the deep mathematical structure underlying neural dynamics and emergent computational phenomena from the brain and mind. In particular, our research aims to uncover insights into neural networks and algorithms in the context of the physiology that supports them and their emergent complexity. And increasingly, this work crosses over to new models and algorithms for machine intelligence, inference, and AI. By bridging these disciplines, we strive not only to advance fundamental knowledge, but to shape transformative technologies.