pybamm-team/PyBaMM
Dec 2024 – Jan 2026
9 Months active
Languages Used
JSONMarkdownPythonreStructuredTextYAML
Technical Skills
API DesignCode RefactoringDocumentationSoftware EngineeringTestingBug Fixing
Pip Liggins
PROFILE
Pip Liggins
Philippa Liggins contributed to the pybamm-team/PyBaMM repository by engineering features and fixes that advanced simulation reliability and flexibility. She developed on-demand summary variable computation and a standardized API for processed variables, refactoring core logic to improve runtime efficiency and maintainability. Using Python and YAML, she enhanced battery modeling workflows with configurable state-of-health reporting and robust serialization for distributed simulations. Her work included stabilizing CI benchmarking environments, refining error handling, and strengthening test infrastructure with precise numerical assertions. Through careful code design and comprehensive testing, Philippa delivered solutions that improved user experience, reproducibility, and the extensibility of scientific computing tools.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
13Total
Bugs
4
Commits
13
Features
7
Lines of code
3,151
Activity Months9
Your Network
28 peopleSame Organization
@dtc.ox.ac.uk1
Shared Repositories
27
Work History
January 2026
3 Commits • 2 Features
Jan 1, 20262026-01 Monthly summary for pybamm-team/PyBaMM: Key features delivered and major fixes that enable broader simulation capabilities and more robust user experience. Key features delivered: - Flexible Initial Condition Parameterization: Added support for multiple input parameters in initial conditions to enable more versatile and scalable simulations. (Commit dd80e341a9c94da5acac2c49af71cbf1d276d4e9) Major bugs fixed: - Clear error when solver receives a list of input sets during experiments: Provided an informative error message, added tests, and updated the changelog to improve user feedback and debugging. (Commit c9121beeab827cdc607fd3643b86a301d43b1dd7) Testing framework improvements: - Refactored unit tests to use npt.assert_allclose for numerical comparisons, increasing precision and readability of test assertions. (Commit ea2ea11388293b5f3cb06b83655e8a4c5a1e7a03) Overall impact and accomplishments: - Enhanced modeling flexibility, user experience, and testing rigor, leading to faster iteration, fewer support issues, and more trustworthy numerical results. Technologies/skills demonstrated: - Python engineering, parameterization design, test-driven development, numerical testing with numpy, CI/test maintenance, and cross-team collaboration (co-authored commits).
3 Commits • 2 Features
Jan 1, 20262026-01 Monthly summary for pybamm-team/PyBaMM: Key features delivered and major fixes that enable broader simulation capabilities and more robust user experience. Key features delivered: - Flexible Initial Condition Parameterization: Added support for multiple input parameters in initial conditions to enable more versatile and scalable simulations. (Commit dd80e341a9c94da5acac2c49af71cbf1d276d4e9) Major bugs fixed: - Clear error when solver receives a list of input sets during experiments: Provided an informative error message, added tests, and updated the changelog to improve user feedback and debugging. (Commit c9121beeab827cdc607fd3643b86a301d43b1dd7) Testing framework improvements: - Refactored unit tests to use npt.assert_allclose for numerical comparisons, increasing precision and readability of test assertions. (Commit ea2ea11388293b5f3cb06b83655e8a4c5a1e7a03) Overall impact and accomplishments: - Enhanced modeling flexibility, user experience, and testing rigor, leading to faster iteration, fewer support issues, and more trustworthy numerical results. Technologies/skills demonstrated: - Python engineering, parameterization design, test-driven development, numerical testing with numpy, CI/test maintenance, and cross-team collaboration (co-authored commits).
January 2026
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered IDAKLU JAX Testing Infrastructure Enhancements in PyBaMM. The changes restructure the testing framework for better isolation and reliability, introduce fixtures that clear cached results after each test run, address collection-time code execution issues, and refine benchmarking with conditional solver configurations to improve accuracy and flexibility.
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered IDAKLU JAX Testing Infrastructure Enhancements in PyBaMM. The changes restructure the testing framework for better isolation and reliability, introduce fixtures that clear cached results after each test run, address collection-time code execution issues, and refine benchmarking with conditional solver configurations to improve accuracy and flexibility.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Delivered stabilization of the PyBaMM CI benchmarking environment by revising CI workflows to install Python dependencies system-wide, enhancing compatibility and benchmarking performance. Implemented a fix to instruct the CI to install dependencies into the system path, addressing reliability issues (commit 65f3326a998937d45c74cf69cc3e02df63d860a5; #5288). These changes reduce environment drift, improve reproducibility of benchmark results, and accelerate feedback for development and optimization efforts.
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Delivered stabilization of the PyBaMM CI benchmarking environment by revising CI workflows to install Python dependencies system-wide, enhancing compatibility and benchmarking performance. Implemented a fix to instruct the CI to install dependencies into the system path, addressing reliability issues (commit 65f3326a998937d45c74cf69cc3e02df63d860a5; #5288). These changes reduce environment drift, improve reproducibility of benchmark results, and accelerate feedback for development and optimization efforts.
November 2025
October 2025
1 Commits
Oct 1, 2025Month: 2025-10 — PyBaMM improvements focusing on reliability and reproducibility. Implemented a critical bug fix in IDAKLUSolver to support pickling of simulations that use output variables, enabling save/load of complex workflows and checkpointing. The change updates _setup to include necessary attributes for pickling when output variables are set, and adds regression tests to verify that simulations with output variables can be saved and loaded. This enhances robustness for long-running and distributed simulations, reducing user friction and improving reproducibility.
October 2025
1 Commits
Oct 1, 2025Month: 2025-10 — PyBaMM improvements focusing on reliability and reproducibility. Implemented a critical bug fix in IDAKLUSolver to support pickling of simulations that use output variables, enabling save/load of complex workflows and checkpointing. The change updates _setup to include necessary attributes for pickling when output variables are set, and adds regression tests to verify that simulations with output variables can be saved and loaded. This enhances robustness for long-running and distributed simulations, reducing user friction and improving reproducibility.
September 2025
1 Commits
Sep 1, 20252025-09 Monthly Summary for pybamm-team/PyBaMM. Focused on correcting a correctness issue in sensitivity calculations for 1D+ variables when using the output_variables option in the IDAKLU solver, alongside strengthening test coverage and documentation to ensure reliability in researchers’ workflows.
1 Commits
Sep 1, 20252025-09 Monthly Summary for pybamm-team/PyBaMM. Focused on correcting a correctness issue in sensitivity calculations for 1D+ variables when using the output_variables option in the IDAKLU solver, alongside strengthening test coverage and documentation to ensure reliability in researchers’ workflows.
September 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for pybamm-team/PyBaMM focusing on foundational API work for processed variables and preparations for future extensions.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for pybamm-team/PyBaMM focusing on foundational API work for processed variables and preparations for future extensions.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a new SummaryVariables API and eSOH control to PyBaMM, enabling retrieval of all computed summary variables with cycle numbers and configurable inclusion of electrochemical State of Health (eSOH) variables in summaries. The Simulation class now respects the calc_esoh property and handles incompatible configurations, improving reliability of summary data across runs. The work enhances observability, configurability, and lifecycle analytics, enabling more accurate decision support and reporting for stakeholders.
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a new SummaryVariables API and eSOH control to PyBaMM, enabling retrieval of all computed summary variables with cycle numbers and configurable inclusion of electrochemical State of Health (eSOH) variables in summaries. The Simulation class now respects the calc_esoh property and handles incompatible configurations, improving reliability of summary data across runs. The work enhances observability, configurability, and lifecycle analytics, enabling more accurate decision support and reporting for stakeholders.
February 2025
January 2025
1 Commits
Jan 1, 2025January 2025: Delivered a critical bug fix in PyBaMM's IDAKLU solver to ensure computed variables are saved and accessible in cycle solutions when Experiments are used. Strengthened test robustness by updating numerical assertion methods. The changes improve reliability and reproducibility of experiment-driven simulations, enabling more confident model validation and faster issue resolution. Demonstrated expertise in Python, PyBaMM codebase, solver behavior, and testing best practices.
January 2025
1 Commits
Jan 1, 2025January 2025: Delivered a critical bug fix in PyBaMM's IDAKLU solver to ensure computed variables are saved and accessible in cycle solutions when Experiments are used. Strengthened test robustness by updating numerical assertion methods. The changes improve reliability and reproducibility of experiment-driven simulations, enabling more confident model validation and faster issue resolution. Demonstrated expertise in Python, PyBaMM codebase, solver behavior, and testing best practices.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 — PyBaMM: SummaryVariables On-Demand Calculation Refactor. Implemented new SummaryVariables class to compute summary variables on demand, refactoring calculation/management to avoid redundant computations. Updated API documentation, added tests, and adjusted internal logic to support on-demand evaluation. Commit 735ffbdec8602e47bc08b7a0ba25a17d3bfefb56 ("Summary variables calculated only when called (#4621)").
1 Commits • 1 Features
Dec 1, 2024December 2024 — PyBaMM: SummaryVariables On-Demand Calculation Refactor. Implemented new SummaryVariables class to compute summary variables on demand, refactoring calculation/management to avoid redundant computations. Updated API documentation, added tests, and adjusted internal logic to support on-demand evaluation. Commit 735ffbdec8602e47bc08b7a0ba25a17d3bfefb56 ("Summary variables calculated only when called (#4621)").
December 2024
Activity
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Quality Metrics
Correctness93.8%
Maintainability89.2%
Architecture90.0%
Performance86.2%
AI Usage23.0%
Skills & Technologies
Programming Languages
JSONMarkdownPythonYAMLreStructuredText
Technical Skills
API DesignAbstract ClassesBattery ModelingBug FixingCI/CDClass DesignCode RefactoringDocumentationNumerical AnalysisNumerical SimulationObject-Oriented ProgrammingPythonPython DevelopmentScientific ComputingSerialization
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