
Worked extensively on the glotzerlab/hoomd-blue and mphowardlab/essential-math repositories, delivering features and infrastructure for scientific simulation and educational content. Developed MPI-based data handling, GPU-accelerated algorithms, and custom data structures in C++ and CUDA to improve simulation scalability and reliability. Enhanced build systems and CI/CD pipelines using Python and Shell scripting, ensuring robust deployment and code quality. Contributed to documentation and content management with LaTeX and Sphinx, adding math notation support and structured navigation. Addressed bugs and release hygiene through precise version control practices, demonstrating depth in parallel computing, configuration management, and technical writing across both research and educational domains.
November 2025 monthly summary focusing on key accomplishments in glotzerlab/hoomd-blue. Ensured release accuracy and traceability by correcting the changelog entry linked to the PR for rigid body compatibility with MPCD. The fix improves user trust, reduces support overhead, and enhances release quality.
November 2025 monthly summary focusing on key accomplishments in glotzerlab/hoomd-blue. Ensured release accuracy and traceability by correcting the changelog entry linked to the PR for rigid body compatibility with MPCD. The fix improves user trust, reduces support overhead, and enhances release quality.
Month: 2025-05. Focused on reliability, documentation, and learning resources for mphowardlab/essential-math. Implemented CI/build hardening, updated the Jupyter Book build process, and refreshed documentation and credits to improve onboarding and learning outcomes. No major user-facing bugs fixed this month; minor build-time polish and typos were corrected to stabilize the pipeline and enhance clarity.
Month: 2025-05. Focused on reliability, documentation, and learning resources for mphowardlab/essential-math. Implemented CI/build hardening, updated the Jupyter Book build process, and refreshed documentation and credits to improve onboarding and learning outcomes. No major user-facing bugs fixed this month; minor build-time polish and typos were corrected to stabilize the pipeline and enhance clarity.
Documented April 2025: improved documentation surface for mphowardlab/essential-math with enhanced math notation support, structured navigation, and governance updates. Key feature work delivered includes LaTeX macros for derivatives, vectors, and partial derivatives, an underline macro for symbols, a new example admonitions extension, and a new Sphinx directive for collapsible solution sections. Documentation TOC was expanded and reorganized for calculus and linear algebra, with content restored (linear systems, functions, and limits pages). Contributor credits were updated to acknowledge Michelle Schindler, Debora Vasconcelos, and Sarah Eldridge. A new solution dropdown directive was added, and pre-commit autofix was disabled to stabilize CI changes.
Documented April 2025: improved documentation surface for mphowardlab/essential-math with enhanced math notation support, structured navigation, and governance updates. Key feature work delivered includes LaTeX macros for derivatives, vectors, and partial derivatives, an underline macro for symbols, a new example admonitions extension, and a new Sphinx directive for collapsible solution sections. Documentation TOC was expanded and reorganized for calculus and linear algebra, with content restored (linear systems, functions, and limits pages). Contributor credits were updated to acknowledge Michelle Schindler, Debora Vasconcelos, and Sarah Eldridge. A new solution dropdown directive was added, and pre-commit autofix was disabled to stabilize CI changes.
March 2025 monthly summary for mphowardlab/essential-math: Delivered foundational improvements to contribution governance and content readiness, enabling scalable collaboration and future topic development.
March 2025 monthly summary for mphowardlab/essential-math: Delivered foundational improvements to contribution governance and content readiness, enabling scalable collaboration and future topic development.
February 2025: Delivered foundational Jupyter Book setup for Essential Mathematics for Chemical Engineers and established automated publishing to GitHub Pages. Implemented CI/CD, PR previews, and content quality checks to enable scalable content creation and faster, reliable releases.
February 2025: Delivered foundational Jupyter Book setup for Essential Mathematics for Chemical Engineers and established automated publishing to GitHub Pages. Implemented CI/CD, PR previews, and content quality checks to enable scalable content creation and faster, reliable releases.
Monthly summary for 2025-01 focusing on key accomplishments in the glotzerlab/hoomd-blue repository. The primary deliverable for this month was a refactor of Thrust-based sorting to the GPU source file, improving code organization, build reliability, and future maintainability while preserving existing functionality for particle momentum sorting.
Monthly summary for 2025-01 focusing on key accomplishments in the glotzerlab/hoomd-blue repository. The primary deliverable for this month was a refactor of Thrust-based sorting to the GPU source file, improving code organization, build reliability, and future maintainability while preserving existing functionality for particle momentum sorting.
December 2024 monthly summary for glotzerlab/hoomd-blue focusing on delivering GPU-accelerated simulation capabilities and a key reliability improvement. The work emphasizes business value through performance, scalability, and code health improvements.
December 2024 monthly summary for glotzerlab/hoomd-blue focusing on delivering GPU-accelerated simulation capabilities and a key reliability improvement. The work emphasizes business value through performance, scalability, and code health improvements.
Delivered two MPCD-focused features in glotzerlab/hoomd-blue during 2024-11: MPCD Snapshot Enhancements and Triclinic Box Support; MPI and MPCD Internal Infrastructure Upgrades. Fixed non-MPI build issues, destructor cleanup, and autotuner chaining. Impact: improved data fidelity, geometry flexibility, performance, and maintainability. Technologies/skills: MPI patterns, advanced data structures, GPU autotuning, cross-build compatibility.
Delivered two MPCD-focused features in glotzerlab/hoomd-blue during 2024-11: MPCD Snapshot Enhancements and Triclinic Box Support; MPI and MPCD Internal Infrastructure Upgrades. Fixed non-MPI build issues, destructor cleanup, and autotuner chaining. Impact: improved data fidelity, geometry flexibility, performance, and maintainability. Technologies/skills: MPI patterns, advanced data structures, GPU autotuning, cross-build compatibility.
September 2024: Delivered robust MPI-based data handling improvements in HOOMD-blue and completed a major refactor to remove Thrust dependency, enhancing reliability, compatibility, and scalability of MPI serialization and data movement across large-scale simulations.
September 2024: Delivered robust MPI-based data handling improvements in HOOMD-blue and completed a major refactor to remove Thrust dependency, enhancing reliability, compatibility, and scalability of MPI serialization and data movement across large-scale simulations.

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