Synthetic biological hardware
Molecular substrates that could behave as configurable biological hardware.
CollaborateResearch agenda
A responsible revolution in biological computation.
BioCompLab studies biological systems as potential programmable computational substrates. The agenda is intentionally ambitious, but precise about what is vision, what is model, and what is validated.
We do not claim that complete biological computers already exist. We build models, tools, simulations, mediated services, and responsible research pathways toward that frontier.
Biological computer organization
Control, memory, signaling, I/O, routing, and biological computation inspired by computer architecture.
CollaborateRNA and genetic logic systems
Regulatory logic, ribocomputing concepts, gene-expression modules, and safe high-level abstractions.
CollaborateSystems biology and whole-cell simulation
Model integration, pathway-level reasoning, and larger-scale cellular simulation workflows.
CollaborateAI-assisted modeling and automation
AI-mediated workflows for literature triage, model assembly, parameter curation, and scientific software.
CollaborateResponsible translation pathway
A biosafety-aware path from hypotheses and models to reviewed, compliant research communication.
CollaborateScientific communication principles
Distinguish vision, hypothesis, model, simulation, prototype, experiment, and validated result.
Avoid operational wet-lab instructions, unsafe genetic engineering guidance, or exaggerated claims.
Track assumptions, provenance, model status, biological scope, and implementation maturity.
Prioritize explainable models, reproducible computation, and institutional research governance.