Living systems compute. We study the algorithms biology already runs and the tools that let us read, model, and design at the boundary of computation and life.
Bio Net treats biological data as a network problem. We build the pipelines and shared infrastructure that let researchers model living systems collaboratively, with provenance and reproducibility built in from the first byte.
Human body as a machine treats physiology as an engineered system — inputs, control loops, failure modes, and maintenance schedules. We model the body's subsystems with the rigour engineers bring to machines: where the levers are that keep it running well, and what the earliest signals look like when something drifts out of spec. The aim is a shared, falsifiable model of the body that a clinician, an engineer, and an agent can all read from the same page.