The rockefeller university

Schonsheck is a mathematician by training, specializing in topological data analysis. He has sought to expand his research beyond the purely theoretical to have a tangible impact on science, with his early work focusing on the interface of topology and theoretical neuroscience. His current focus is on advancing and applying the tools of topological data analysis to better understand how neural circuits encode, learn, and decode information. He is particularly interested in neuronal activity patterns with nontrivial topology, such as head-direction cells and grid cells, and the interplay between network structure and dynamics. Ultimately, Schonsheck aims to contribute to the development of a coherent mathematical framework for understanding the brain.