ICTS

I am broadly interested in understanding the interplay between structure and function in neural circuits, particularly from the perspective of development. My work lies at the interface of theoretical and computational neuroscience, nonlinear dynamics and machine learning. Central questions of my interest are understanding how the underlying nonlinear dynamics of developing neural systems lead to the formation of structured circuits, and how can natural and artificial circuits leverage these structures for computation.

I use theoretical and numerical tools from dynamical systems, network science, geometry, topology and statistical mechanics to better understand how neural circuits represent information, and how these circuits form within the constraints of the developing brain.