experimental-design/bofire
Feb 2026 – Jun 2026
3 Months active
Languages Used
Python
Technical Skills
Pythondata analysismachine learningoptimizationscientific computingdependency management
Kateryna Morozovska
PROFILE
Kateryna Morozovska
Worked on the experimental-design/bofire repository, delivering features and stability improvements over three months. Focused on enhancing data alignment and integrity in machine learning workflows, they preserved DataFrame indices during constraint evaluation to ensure reproducible analyses. They strengthened the evaluation engine for Jacobian and Hessian calculations by enforcing Python backend consistency, improving accuracy for scientific computing tasks. To maintain stability and licensing compliance, they managed dependencies by pinning pydantic-ai versions and updated documentation to reflect licensing requirements. Their work emphasized robust data analysis, dependency management, and clear documentation, supporting maintainable pipelines and reducing risk in future upgrades using Python and TOML.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
1,204
Activity Months3
Your Network
5 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 highlights for experimental-design/bofire: focused on stability and licensing compliance. Delivered a Stability and Licensing Compliance Update by pinning pydantic-ai<2.0.0 to prevent API changes and removing the EntingStrategy tutorial to meet Gurobi licensing constraints. These changes preserve API stability, reduce licensing risk, and streamline CI. This month did not introduce customer-facing features; core stability improvements set the stage for safe future upgrades.
1 Commits • 1 Features
Jun 1, 2026June 2026 highlights for experimental-design/bofire: focused on stability and licensing compliance. Delivered a Stability and Licensing Compliance Update by pinning pydantic-ai<2.0.0 to prevent API changes and removing the EntingStrategy tutorial to meet Gurobi licensing constraints. These changes preserve API stability, reduce licensing risk, and streamline CI. This month did not introduce customer-facing features; core stability improvements set the stage for safe future upgrades.
June 2026
March 2026
1 Commits • 1 Features
Mar 1, 20262026-03 Monthly Summary: Strengthened the BoFire evaluation workflow for Jacobian/Hessian calculations involving list expressions and improved user guidance for reaction optimization. Delivered reliable Python backend evaluation, stabilized engine behavior, and documentation updates to support maintainability and onboarding.
March 2026
1 Commits • 1 Features
Mar 1, 20262026-03 Monthly Summary: Strengthened the BoFire evaluation workflow for Jacobian/Hessian calculations involving list expressions and improved user guidance for reaction optimization. Delivered reliable Python backend evaluation, stabilized engine behavior, and documentation updates to support maintainability and onboarding.
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for the experimental-design team focusing on delivering reliable data alignment, maintaining data integrity, and enabling reproducible downstream analyses. Repository: experimental-design/bofire.
1 Commits
Feb 1, 2026February 2026 monthly summary for the experimental-design team focusing on delivering reliable data alignment, maintaining data integrity, and enabling reproducible downstream analyses. Repository: experimental-design/bofire.
February 2026
Activity
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Quality Metrics
Correctness93.4%
Maintainability80.0%
Architecture80.0%
Performance73.4%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Pythondata analysisdependency managementdocumentationmachine learningoptimizationpythonscientific computingtoml
Repositories Contributed To
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