Open reference implementation of self-driving perfusion bioprocess development (Gadiyar et al., 2026)
Project description
perfusio
perfusio is an open, peer-reviewable reference implementation of the self-driving perfusion methodology of Gadiyar et al. (2026) and Hutter et al. (2021), providing stepwise Gaussian Process hybrid models, entity-embedding transfer learning, 11 Bayesian experimental design acquisitions, and a fully-instrumented online digital twin for CHO cell perfusion bioprocesses.
Quick-start
pip install perfusio
python -c "from perfusio.simulator.cho_perfusion import CHOSimulator; print('OK')"
Reproduce all paper figures
pip install perfusio
python examples/reproduce_paper_figures.py
# → paper_figures/{fig4,fig7,fig8}.{pdf,png,svg}
CLI
# Generates 27 runs (4-factor Box-Behnken design, 3 centre points)
perfusio simulate --clone CloneX --n-days 28 --out runs/
perfusio train --runs runs/ --model-out model.pt
perfusio run --model model.pt --connector ambr250 --dashboard
perfusio reproduce-figures --out paper_figures/
What's inside
| Module | Description |
|---|---|
perfusio.mechanistic |
CHO kinetics ODEs (dual-Monod, Pirt, Warburg, Luedeking–Piret) |
perfusio.gp |
PerfusionKernel, JackknifeEnsemble, StepwiseGP |
perfusio.embedding |
Entity-embedding transfer (Hutter 2021) |
perfusio.hybrid |
Hybrid state-space model + online retraining |
perfusio.bed |
11 BED acquisitions + Pareto / HV utilities |
perfusio.simulator |
CHOSimulator, Box-Behnken / LHC DoE, noise model |
perfusio.twin |
DigitalTwin, audit, notifications, scheduler |
perfusio.connectors |
OPC UA, SQL, filesystem, ambr®250 emulator |
perfusio.metrics |
rRMSE, PI coverage, CRPS, IGD+, ε-indicator |
perfusio.viz |
Static figures (Matplotlib) + interactive (Plotly/Dash) |
perfusio.cli |
Typer CLI |
Installation
CPU (default)
pip install perfusio
GPU
pip install perfusio[gpu]
Dashboard
pip install perfusio[dash]
perfusio run --dashboard
Development
git clone https://github.com/lynchaos/perfusio.git
cd perfusio
pip install -e ".[dev]"
pre-commit install
pytest
Citation
If you use perfusio, please cite:
@article{gadiyar2026,
author = {Gadiyar, Chiraag J. and others},
title = {Self-Driving Development of Perfusion Processes
for Monoclonal Antibody Production},
journal = {Biotechnology and Bioengineering},
year = {2026},
volume = {123},
number = {2},
pages = {391--405},
doi = {10.1002/bit.28631},
}
@article{hutter2021,
author = {Hutter, Clemens and von Stosch, Moritz and Cruz Bournazou, Mariano N. and Butt{\'e}, Alessandro},
title = {Knowledge transfer across cell lines using hybrid Gaussian
process models with entity embedding vectors},
journal = {Biotechnology and Bioengineering},
year = {2021},
volume = {118},
number = {12},
pages = {4710--4725},
doi = {10.1002/bit.27907},
}
Limitations
See LIMITATIONS.md for a full list of out-of-scope items, including CQA modelling, GMP validation, and proprietary media formulations.
Contributing
See CONTRIBUTING.md.
Code of Conduct
See CODE_OF_CONDUCT.md.
Maintainer
Kemal Yaylali — kemal.yaylali.uk
- GitHub: @lynchaos
- X / Twitter: @kmlyyll
- LinkedIn: kemalyaylali
- Support: support@yaylali.uk
Licence
Apache-2.0 — see LICENSE.
Project details
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-
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public
-
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https://token.actions.githubusercontent.com -
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github-hosted -
Publication workflow:
release.yml@47539868bc5a58ccb1b7421370c5338d8ad10b4d -
Trigger Event:
push
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