
Jordi Manyer developed advanced finite element and polytopal modeling capabilities in the Gridap.jl repository, focusing on adaptive meshing, high-order methods, and robust solver infrastructure. He engineered extensible APIs and modular workflows in Julia, integrating 3D geometry, automatic differentiation, and performance benchmarking to support scalable, production-ready simulations. His work included refactoring core modules for maintainability, expanding test coverage, and implementing new numerical methods such as Hybrid High-Order and Discontinuous Galerkin solvers. By addressing cross-version compatibility, CI/CD automation, and visualization tooling, Jordi ensured reliable downstream adoption and streamlined development, demonstrating depth in computational geometry, software engineering, and scientific computing.

October 2025: Focused on stabilizing adaptive meshing workflows in gridap/Gridap.jl and ensuring release readiness. Key outcomes: 1) Delivered Robust Boundary Triangulation for AdaptedDiscreteModels with new method signatures, enhancing robustness and clarity of boundary handling in adaptive meshing. 2) Fixed issue #1174: updated NEWS, bumped version to 0.19.6, and performed minor test cleanup. Overall impact: more reliable boundary triangulation, smoother user adoption of the updated API, and improved release traceability. Technologies/skills: Julia, API design/refactoring, version management, testing and documentation.
October 2025: Focused on stabilizing adaptive meshing workflows in gridap/Gridap.jl and ensuring release readiness. Key outcomes: 1) Delivered Robust Boundary Triangulation for AdaptedDiscreteModels with new method signatures, enhancing robustness and clarity of boundary handling in adaptive meshing. 2) Fixed issue #1174: updated NEWS, bumped version to 0.19.6, and performed minor test cleanup. Overall impact: more reliable boundary triangulation, smoother user adoption of the updated API, and improved release traceability. Technologies/skills: Julia, API design/refactoring, version management, testing and documentation.
September 2025 monthly summary for Gridap.jl: Delivered key numerical capabilities and API enhancements, strengthened testing, and improved CI stability to support reliable downstream usage. The work focused on tensor-valued linear algebra, data extraction workflows, and robust extension tooling, delivering concrete business value through performance, reliability, and API surface expansion.
September 2025 monthly summary for Gridap.jl: Delivered key numerical capabilities and API enhancements, strengthened testing, and improved CI stability to support reliable downstream usage. The work focused on tensor-valued linear algebra, data extraction workflows, and robust extension tooling, delivering concrete business value through performance, reliability, and API surface expansion.
Concise monthly summary for 2025-08 focusing on gridap/Gridap.jl: Key features delivered, major bugs fixed, overall impact and accomplishments, and technologies demonstrated. Emphasis on business value, robustness, and cross-version compatibility.
Concise monthly summary for 2025-08 focusing on gridap/Gridap.jl: Key features delivered, major bugs fixed, overall impact and accomplishments, and technologies demonstrated. Emphasis on business value, robustness, and cross-version compatibility.
Concise monthly summary for gridap/Gridap.jl in 2025-07 focusing on feature work, bug fixes, and overall impact. The month delivered foundational and capability-enhancing work for patch-based discretizations, extended boundary handling, and topology support, alongside expanded test coverage and release readiness. The changes improve modeling fidelity, reliability, and developer enablement for PDE solvers built on Patch and Skeleton abstractions, setting the stage for broader production adoption.
Concise monthly summary for gridap/Gridap.jl in 2025-07 focusing on feature work, bug fixes, and overall impact. The month delivered foundational and capability-enhancing work for patch-based discretizations, extended boundary handling, and topology support, alongside expanded test coverage and release readiness. The changes improve modeling fidelity, reliability, and developer enablement for PDE solvers built on Patch and Skeleton abstractions, setting the stage for broader production adoption.
Concise monthly summary for Gridap.jl (June 2025) highlighting business value, architectural improvements, and 3D polytopal modeling progress. Delivered API refactor enabling cleaner module boundaries, advanced 3D polytopal capabilities, expanded test coverage, and release readiness.
Concise monthly summary for Gridap.jl (June 2025) highlighting business value, architectural improvements, and 3D polytopal modeling progress. Delivered API refactor enabling cleaner module boundaries, advanced 3D polytopal capabilities, expanded test coverage, and release readiness.
May 2025 performance summary for gridap/Gridap.jl: Achieved significant test coverage expansion for MultiFieldFESpaces and polytopal FESpaces, introduced foundational HHO improvements including static condensation capabilities and drivers for Stokes and Elasticity, and advanced polytopal coarsening and associated tests. Also laid groundwork for new spaces (MultiConstantFESpaces, LocalOperator test-space kwarg), domain handling improvements, and ongoing maintenance to stabilize the codebase. These efforts reduce risk, accelerate development, and broaden the applicability of HHO methods in Stokes, Elasticity, and Darcy contexts.
May 2025 performance summary for gridap/Gridap.jl: Achieved significant test coverage expansion for MultiFieldFESpaces and polytopal FESpaces, introduced foundational HHO improvements including static condensation capabilities and drivers for Stokes and Elasticity, and advanced polytopal coarsening and associated tests. Also laid groundwork for new spaces (MultiConstantFESpaces, LocalOperator test-space kwarg), domain handling improvements, and ongoing maintenance to stabilize the codebase. These efforts reduce risk, accelerate development, and broaden the applicability of HHO methods in Stokes, Elasticity, and Darcy contexts.
April 2025 summary for gridap/Gridap.jl focusing on feature delivery, reliability improvements, and performance enhancements. The work this month expanded discretization capabilities, improved test coverage across configurations, and tightened release readiness through versioning and documentation updates.
April 2025 summary for gridap/Gridap.jl focusing on feature delivery, reliability improvements, and performance enhancements. The work this month expanded discretization capabilities, improved test coverage across configurations, and tightened release readiness through versioning and documentation updates.
March 2025 performance and delivery summary for Gridap.jl focused on feature expansion, stability, and extensibility of the grid and HHO subsystems. The team delivered significant enhancements to block/patche assembly workflows, expanded data handling and visualization capabilities, and strengthened boundary and polytopal grid support, while maintaining release readiness through version bump and code cleanup. These efforts improved build reliability, enabled more flexible simulation workflows, and reduced future maintenance costs through refactors and documentation improvements.
March 2025 performance and delivery summary for Gridap.jl focused on feature expansion, stability, and extensibility of the grid and HHO subsystems. The team delivered significant enhancements to block/patche assembly workflows, expanded data handling and visualization capabilities, and strengthened boundary and polytopal grid support, while maintaining release readiness through version bump and code cleanup. These efforts improved build reliability, enabled more flexible simulation workflows, and reduced future maintenance costs through refactors and documentation improvements.
February 2025 (2025-02) monthly summary for gridap/Gridap.jl. Focused on stabilizing automatic differentiation (AD), expanding mesh support, and laying groundwork for new operator and numerical-method capabilities. This work increases model fidelity, enables broader application domains, and improves maintainability through refactors and documentation.
February 2025 (2025-02) monthly summary for gridap/Gridap.jl. Focused on stabilizing automatic differentiation (AD), expanding mesh support, and laying groundwork for new operator and numerical-method capabilities. This work increases model fidelity, enables broader application domains, and improves maintainability through refactors and documentation.
January 2025 performance summary for gridap/Gridap.jl: Expanded polytopal support and scalable solvers, delivering a cohesive Polytopal Grid Ecosystem, a DG Poisson solver for polytopal meshes, and patch-based HDG-ready assemblies, complemented by internal geometry and performance improvements. Key outcomes include type-stable polytope representations, optimized quadratures, and robust visualization tooling; implementing patch-based triangulations with HDG and static condensation; and advancing benchmarking, autodiff scaffolding, and documentation to support maintainable, high-performance simulations on complex meshes.
January 2025 performance summary for gridap/Gridap.jl: Expanded polytopal support and scalable solvers, delivering a cohesive Polytopal Grid Ecosystem, a DG Poisson solver for polytopal meshes, and patch-based HDG-ready assemblies, complemented by internal geometry and performance improvements. Key outcomes include type-stable polytope representations, optimized quadratures, and robust visualization tooling; implementing patch-based triangulations with HDG and static condensation; and advancing benchmarking, autodiff scaffolding, and documentation to support maintainable, high-performance simulations on complex meshes.
December 2024 monthly summary for gridap/Gridap.jl: The team delivered substantial improvements to adaptive mesh refinement (AMR), expanded discretization capabilities, and strengthened reliability and release processes. Key features delivered include a full AMR workflow, performance optimizations, and enhanced discretization tooling, underpinned by automated tests and thorough documentation. The month culminated in a formal release cycle with accompanying notes and version bump to 0.18.8, positioning Gridap.jl for more scalable and accurate simulations in production workloads.
December 2024 monthly summary for gridap/Gridap.jl: The team delivered substantial improvements to adaptive mesh refinement (AMR), expanded discretization capabilities, and strengthened reliability and release processes. Key features delivered include a full AMR workflow, performance optimizations, and enhanced discretization tooling, underpinned by automated tests and thorough documentation. The month culminated in a formal release cycle with accompanying notes and version bump to 0.18.8, positioning Gridap.jl for more scalable and accurate simulations in production workloads.
Month 2024-11 — Delivered CI/QA, compatibility, and numerical-method enhancements for Gridap.jl, enabling faster feedback, more reliable builds, and broader library interoperability. Key features: overhaul of CI/testing infrastructure (initial CI trigger, PR workflow adjustments, and CI overhaul) to improve testing automation; benchmarks extended to support new extendable patterns; BlockArrays and FillArrays compatibility improvements (BlockArrays 1.0 fixes and Julia compatibility); comprehensive compatibility updates for core libraries (QuadGK, NLSolve, PolynomialBases, and JDL2 alignment, including a downgrade to keep DataStructures compatibility); addition of Xiao–Gimbutas quadratures for new integration methods. Major bugs fixed: undefined exports, unbound dependencies compatibility fixes for Julia base libs, deactivation of unbound-args tests, removal of invalidations, and fix to orientation of barycentric refinement. Overall impact: faster, more reliable development cycles, broader language/library compatibility, and expanded numerical capabilities, contributing to stronger production readiness and downstream usability. Technologies/skills demonstrated: CI/CD pipelines and workflow automation in Julia, test suite optimization and memory considerations, cross-library compatibility management across Julia versions, and integration of advanced quadrature methods.
Month 2024-11 — Delivered CI/QA, compatibility, and numerical-method enhancements for Gridap.jl, enabling faster feedback, more reliable builds, and broader library interoperability. Key features: overhaul of CI/testing infrastructure (initial CI trigger, PR workflow adjustments, and CI overhaul) to improve testing automation; benchmarks extended to support new extendable patterns; BlockArrays and FillArrays compatibility improvements (BlockArrays 1.0 fixes and Julia compatibility); comprehensive compatibility updates for core libraries (QuadGK, NLSolve, PolynomialBases, and JDL2 alignment, including a downgrade to keep DataStructures compatibility); addition of Xiao–Gimbutas quadratures for new integration methods. Major bugs fixed: undefined exports, unbound dependencies compatibility fixes for Julia base libs, deactivation of unbound-args tests, removal of invalidations, and fix to orientation of barycentric refinement. Overall impact: faster, more reliable development cycles, broader language/library compatibility, and expanded numerical capabilities, contributing to stronger production readiness and downstream usability. Technologies/skills demonstrated: CI/CD pipelines and workflow automation in Julia, test suite optimization and memory considerations, cross-library compatibility management across Julia versions, and integration of advanced quadrature methods.
2024-10 monthly summary for gridap/Gridap.jl: Delivered targeted feature work, API modernization, and performance optimizations with a focus on maintainability and business value. Key changes include metadata support for Conforming/Discontinuous FESpaces, API evolution for affine maps, and partial-domain lazy-mapping performance improvements. Updated tests, NEWS, and documentation to reflect changes and ensure long-term compatibility. No major user-facing bugs fixed this month; minor test/docs fixes accompanied feature work.
2024-10 monthly summary for gridap/Gridap.jl: Delivered targeted feature work, API modernization, and performance optimizations with a focus on maintainability and business value. Key changes include metadata support for Conforming/Discontinuous FESpaces, API evolution for affine maps, and partial-domain lazy-mapping performance improvements. Updated tests, NEWS, and documentation to reflect changes and ensure long-term compatibility. No major user-facing bugs fixed this month; minor test/docs fixes accompanied feature work.
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