Research software engineering — precision tooling for laboratories and ML teams.
We track the scientific literature and implement what works: custom bioinformatics pipelines, hardware interfaces, machine learning systems, and rigorous scientific software methodology.
Every project is direct — you work with the technical lead from day one.
Published in Nature Communications · #5 Polish company on the Nature Index
| Project | Description | Status |
|---|---|---|
| densitree | Density-normalized clustering with minimum spanning tree construction — state-of-the-art SPADE for cytometry, single-cell, and high-dimensional data | Released |
| pykinbiont | Python interface to the KinBiont.jl ecosystem — microbial growth curve analysis and kinetics tooling for Python workflows | Released |
| KinBiont.jl | Numerical methods ecosystem for microbial kinetics data analysis — growth curve fitting, model selection, and comparative analysis | Released |
| GUIbiont | Graphical interface for bacterial growth curve analysis (KinBiont.jl integration) | In development |
| AutoGate | Automated, reproducible gating for flow cytometry data | In development |
| ChiBio UI | Control interface for the chi.bio open bioreactor platform | In development |
Developed in collaboration with the Pinheiro Group at Human Technopole, Milan.
- Laboratory Informatics — analysis pipelines, hardware integration, flow cytometry, bioreactor interfaces, bioinformatics
- ML & Data Engineering — time series, NLP, deep learning fine-tuning, data warehouse design
- Platform Engineering — full-stack web, iOS, Android, CI/CD, server orchestration
