Joshua Bongard

The paper introduces MOMbot, a robot scientist that autonomously performs multimodal physical interventions on biological systems to discover how inputs affect cellular and organismal outcomes.

This study shows that bacterial collectives can encode information about nearby multicellular systems through spatial patterns and machine learning.

This study shows that purinergic signaling disrupts multi-cellular coordination in basal Xenobots, altering information flow and integration.

The paper identifies complex information architectures in Xenopus laevis organoids, suggesting they exhibit integrated, complex systems despite being non-neural.

The paper uses functional connectivity networks to analyze calcium dynamics in non-neural tissues, revealing non-random structural and informational patterns post-injury.