FSADB.org stands for the Foundation for the Safe Advancement of Digital Biology, the name of an institution I hope to establish in the future. That foundation does not formally exist yet.
For now, this site functions as my personal research home base. It is a public record of the ideas, experiments, drafts, and reflections that make up my work as an independent researcher operating outside traditional academic structures.
I created this site for two core reasons.
To build a stable, permanent record of my work.
Much of this research has developed without an institutional home. FSADB.org gives the work a place to accumulate, remain accessible, and remain coherent over time.
To make the process visible rather than only the conclusions.
Most science is only seen in its finished form. Here, I publish the false starts, revisions, working models, and evolving interpretations alongside final results.
About Digital Biology
The phrase Digital Biology already carries established meanings in areas such as bioinformatics and computational biology. My use of the term is different and closer, but not equivalent, to traditional Artificial Life.
Artificial Life typically focuses on building explicit models that reproduce life-like properties for study. My goal is not to model biological structures or recreate specific biological functions. I am pursuing something more fundamental: a first-principles pathway to emergence in digital substrates.
Rather than designing systems that imitate specific biological components, I am interested in whether a system can grow from its own parts, increase its internal complexity, self-organize through time, and stabilize into a coherent process based on its intrinsic informational dynamics.
The aim is not to build something equal to organic life, but something equivalent in its organization. It is a system that earns its behavior through emergence rather than through direct one-to-one modeling. This interpretation continues to evolve as the work progresses.
About MEGA
The Mutable Encoding Genetic Algorithm (MEGA) is the central research system developed and documented through this site. Unlike traditional genetic algorithms, MEGA evolves its own encoding structure alongside the solutions it produces, creating a developmental process rather than a fixed optimization pipeline.
MEGA has been publicly available as a codebase for some time. FSADB.org is where I am organizing and contextualizing the ongoing research around it as a coherent program rather than just a collection of experiments.
The public codebase is available here:
MEGA on GitHub
Publishing Philosophy
FSADB.org follows an independent, open publishing model inspired by researchers and laboratories that prioritize direct public access over traditional journal gatekeeping.
Work is published in four layers:
- Personal blog posts
- Research Logs and research logs
- Working papers (draft technical documents)
- Technical Reports released as FSADB Technical Reports
This approach creates a complete, transparent record of how ideas emerge, break, reform, and eventually stabilize into formal results.