Bring the
biological question.
How we work with research teams.
How a project runs
-
Understand the science
Agree on the question, what the data mean and which assumptions matter.
You get a shared brief your whole team can review.
-
Build the analysis
Turn that shared understanding into a tested workflow, with appropriate explainability methods and clear limitations.
You get software your team can rerun.
Keep the lab in the loop
Every step answers to both sides.
From the labWhat should we test next?
Shared understanding
From computationWhat can the model support?
What holds on every project
Interpretable by design
The reasoning stays visible, from question to result.
Reproducible
Versioned, rerunnable code that follows FAIR4RS.
Your data stays yours
We work inside the access and IP limits you set.
Built for handover
Your team can run and extend it without us.
What you can bring
No plan needed. We start from there.
- A biological question
Which candidates should we test next?
- A dataset
Is this enough data for a model?
- An existing model
Can we trust it on our targets?
- A stuck workflow
Can this notebook become a pipeline?
Getting in touch
A few lines is enough. Data can wait.