Eidosoma conducts computational biological research as a continuous loop between human judgement and machine exploration. Our AI scientists help design, execute, and revisit experiments across three interlocking research directions.
Cells talk to each other through many channels — chemical signalling, mechanical forces, and bioelectricity. Building on the work of Michael Levin and others, we model these signals as a substrate for distributed cognition — how a collection of cells 'decides' the shape of a limb, an organ, or a tumour.
Regeneration, cancer, and aging are three modes of the same distribution — tissues losing, regaining, or drifting from the ability to agree on what they are. We search for bioelectric and molecular interventions that nudge a system back toward its target morphology.
We grow open-ended populations of simulated organisms, protocells, and neural substrates — testing how agency, memory, and morphology co-evolve, and what the strongest candidates can teach us about the origins of mind.
We welcome conversations with researchers and labs working across bioelectricity, regeneration, artificial life, and AI-enabled science.