Software
Modern biology runs on software as much as reagents. These are tools built in-house — to design constructs, run a vivarium, automate analysis, and communicate results — sharpened against the daily friction of real research.
The toolkit
Each of these began as a bottleneck — at the bench or at the keyboard. Rather than work around the friction, the instrument got built, and kept only if it earned its place in daily use.
An interactive plasmid instrument: annotated circular maps, restriction mapping, virtual digests with simulated gels, primer design, open-reading-frame detection, GC-content and skew, and a construct quality linter that catches cloning mistakes before the bench does.
A management system for a research mouse colony — live census, cage cards, and breeding records — keeping a working vivarium organized, current, and auditable.
A private workspace for organizing, running, and tracking routine computational pipelines and lab operations — keeping analyses reproducible and the day-to-day record of the lab in one coherent place.
A tool for building scientific presentations — turning figures, data, and narrative into clean, consistent slides for lab meetings and talks.
A current project — bringing the same care in interface and correctness to the analysis of flow cytometry data, the immunologist’s core readout.
These are research tools, not products. They are described here to show how the science is done; access is private.
Good software is a laboratory instrument — it should be precise, honest, and quietly get out of the way.