Research/Fig. 03 — two sources, one pattern
On the limits of what a machine may conclude.
First-author work on recovering production pipelines without a human in the loop.
Proposes a vendor-agnostic architecture for agentic incident triage, diagnosis, guarded remediation, verification and organisational learning across data and AI pipelines, assembled entirely from open-source components.
Downstream results produced by the autonomous research system I architected.
A double-blinded validation of the autonomous agent I architected, run against reference data to test whether the system's discovery process holds up when the answers are withheld.
Applies the tool-using agent and its distributed execution layer to broad-spectrum antibiotic discovery — a workload that depends on high-throughput candidate validation and ranking.
A safety evaluation of the agent's capability boundaries — what a capable tool-using scientific system can and should be prevented from doing.
End-to-end automation of antibody design and validation, demonstrating the agent running a full research workflow rather than a single assisted step.
Author positions are listed exactly as published. On the Moremi papers my contribution is the intelligent system and the distributed research infrastructure it runs on. The biology is the domain those systems were pointed at, not my claim to expertise. My own research is in intelligent systems: self-adaptive software today, and cyber-physical systems next.