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arrjon

PROFILE

Arrjon

Jonas Arruda developed an SBML model import and simulation example notebook for the bayesflow-org/bayesflow repository, focusing on integrating systems biology models into the BayesFlow framework. He implemented an end-to-end workflow in Python and Jupyter Notebook, demonstrating SBML import, generative model setup with simulator and prior, and training a BayesFlow approximator for Bayesian inference using RoadRunner. This work enabled researchers to model and simulate biological processes within BayesFlow, enhancing cross-domain applicability. Jonas also improved documentation and example materials, supporting reproducibility and onboarding. The feature delivered depth by connecting systems biology standards with machine learning-based inference pipelines.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
762
Activity Months1

Work History

November 2024

1 Commits • 1 Features

Nov 1, 2024

November 2024 Monthly Summary for bayesflow-org/bayesflow focusing on feature delivery and technical impact. Highlighted work centers on SBML integration and end-to-end demonstration of modeling, simulation, and Bayesian inference within the BayesFlow framework.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Jupyter NotebookPython

Technical Skills

BayesFlowBayesian InferenceMachine LearningPythonRoadRunnerSBMLSystems Biology

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

bayesflow-org/bayesflow

Nov 2024 Nov 2024
1 Month active

Languages Used

Jupyter NotebookPython

Technical Skills

BayesFlowBayesian InferenceMachine LearningPythonRoadRunnerSBML