Artemy Kolchinsky

Program Postdoctoral Fellow

Artemy Kolchinsky studies how information is organized and processed in biological, neural, and physical systems. He previously investigated information-theoretic methods for analyzing distributed organization, which can be used to decompose systems into weakly-coupled 'modules', and to identify which regions act as integrative hubs. In recent collaboration with SFI professor David Wolpert, Artemy is researching fundamental constraints on the energy required to process information, whether done by a living cell, a digital computer, or any other device. He is also attempting to use statistical physics to define a notion of semantic information, i.e. information that doesn't simply reflect correlations but rather the amount of meaningful content for a given system. Artemy holds a PhD from Indiana University, Bloomington with a specialization in complex systems and a minor in cognitive science.