Studying where lab automation work breaks
-
Updated
Sep 1, 2026 - Python
Studying where lab automation work breaks
Generic, simulator-only scRNA-seq and whole-genome sequencing workflows, from planning through configurable analysis handoffs.
Evidence and permission for autonomous labs: expert QC gates, workcell orchestration, provenance, recovery, and honest hardware boundaries.
Modular control infrastructure for autonomous pulsed-laser deposition: a message-queue bus behind an authenticated REST/WebSocket API, with a shared contract that regenerates the frontend client. Under active development.
The evaluation index for the di-omics portfolio: the metric each capability is scored on, the QC that gates it, and which numbers are still pending. Rendered at di-omics.github.io/benchmarks.
To associate your repository with the autonomous-lab topic, visit your repo's landing page and select "manage topics."