
Andrew Willems developed and maintained core features for the stjude/proteinpaint repository, focusing on end-to-end data analysis workflows for genomic research. He engineered robust backend APIs and integrated user interfaces to support GRIN2, CNV, and gene expression analyses, enabling researchers to process and visualize complex datasets efficiently. Leveraging TypeScript, Rust, and Python, Andrew implemented dynamic data filtering, interactive SVG/D3 visualizations, and performance benchmarking, while refactoring code for maintainability and reliability. His work included backend-to-frontend data integration, improved error handling, and test-driven development, resulting in a scalable, well-documented platform that supports advanced bioinformatics and data exploration needs.

October 2025 (2025-10) – stjude/proteinpaint: Delivered key features across lesion tracking, GRIN2 data types, and UI/UX; fixed production issues; improved reliability and performance. Key features include lesion cap by type with unified dt cap and enhanced tracking; processing summary overhaul; GRIN2 data type support for fusion/SV with UI/backend integration and flanking size handling; dynamic SV fusion UI controls and data-type selection UI with SNVindel filtering; and background improvements including cacheFile enhancements, midpoint calculation fix, and dependency pinning. Business impact: more accurate lesion tracking, faster processing, richer data exploration, and reduced production risk.
October 2025 (2025-10) – stjude/proteinpaint: Delivered key features across lesion tracking, GRIN2 data types, and UI/UX; fixed production issues; improved reliability and performance. Key features include lesion cap by type with unified dt cap and enhanced tracking; processing summary overhaul; GRIN2 data type support for fusion/SV with UI/backend integration and flanking size handling; dynamic SV fusion UI controls and data-type selection UI with SNVindel filtering; and background improvements including cacheFile enhancements, midpoint calculation fix, and dependency pinning. Business impact: more accurate lesion tracking, faster processing, richer data exploration, and reduced production risk.
For 2025-09 (stjude/proteinpaint), delivered a series of substantial plotting and UI improvements focused on accuracy, performance, and developer productivity across the main visualization stack (SVG/Manhattan plots) with strengthening data handling and documentation. Key features delivered include a suite of SVG plotting enhancements, UI/UX improvements for gene hover, dynamic axis padding with default plot parameters, Manhattan plot integration and enhancements, and improvements in PNG/D3 rendering compatibility. In parallel, notable code quality and maintenance work included cleanup, error handling standardization, and documentation updates.
For 2025-09 (stjude/proteinpaint), delivered a series of substantial plotting and UI improvements focused on accuracy, performance, and developer productivity across the main visualization stack (SVG/Manhattan plots) with strengthening data handling and documentation. Key features delivered include a suite of SVG plotting enhancements, UI/UX improvements for gene hover, dynamic axis padding with default plot parameters, Manhattan plot integration and enhancements, and improvements in PNG/D3 rendering compatibility. In parallel, notable code quality and maintenance work included cleanup, error handling standardization, and documentation updates.
In August 2025, delivered end-to-end GRIN2 processing enhancements in the stjude/proteinpaint project, establishing a robust backend API and an integrated UI for GRIN2 analysis. This work enables researchers to process GRIN2 data (SNV/Indel/CNV) with clear data-type tracking, end-to-end routes in the portal, interactive visualizations, and configurable analyses. The month also included code quality improvements and groundwork for scalable visualization and data exploration in the portal.
In August 2025, delivered end-to-end GRIN2 processing enhancements in the stjude/proteinpaint project, establishing a robust backend API and an integrated UI for GRIN2 analysis. This work enables researchers to process GRIN2 data (SNV/Indel/CNV) with clear data-type tracking, end-to-end routes in the portal, interactive visualizations, and configurable analyses. The month also included code quality improvements and groundwork for scalable visualization and data exploration in the portal.
July 2025 monthly summary focusing on GRIN2 module enhancements in stjude/proteinpaint, with emphasis on business value and technical achievements. Highlights include plotting/UI improvements, data display refinements, internal refactors to reduce technical debt, and API route groundwork to enable future integrations. The work strengthened data visibility for researchers, improved maintainability, and laid the foundation for scalable GRIN2 onboarding and reporting.
July 2025 monthly summary focusing on GRIN2 module enhancements in stjude/proteinpaint, with emphasis on business value and technical achievements. Highlights include plotting/UI improvements, data display refinements, internal refactors to reduce technical debt, and API route groundwork to enable future integrations. The work strengthened data visibility for researchers, improved maintainability, and laid the foundation for scalable GRIN2 onboarding and reporting.
June 2025 monthly summary for stjude/proteinpaint focused on user experience refresh, data integration, and performance/quality improvements that unlock faster data exploration and broader data support (CNV, MAF, GRIN2, and top-gene analyses).
June 2025 monthly summary for stjude/proteinpaint focused on user experience refresh, data integration, and performance/quality improvements that unlock faster data exploration and broader data support (CNV, MAF, GRIN2, and top-gene analyses).
May 2025 monthly summary for stjude/proteinpaint focusing on delivering measurable business value through code quality, data modeling, and user-facing analytics. Highlights include end-to-end GRIN2 route integration, UI/visualization improvements, and tooling enhancements that increase development velocity, reliability, and release-readiness.
May 2025 monthly summary for stjude/proteinpaint focusing on delivering measurable business value through code quality, data modeling, and user-facing analytics. Highlights include end-to-end GRIN2 route integration, UI/visualization improvements, and tooling enhancements that increase development velocity, reliability, and release-readiness.
April 2025 monthly summary for stjude/proteinpaint: Delivered time formatting standardization, HDF5-based gene expression enhancements, and migration cleanups; improved typing and test coverage; boosted reliability and performance for multi-gene queries and large datasets.
April 2025 monthly summary for stjude/proteinpaint: Delivered time formatting standardization, HDF5-based gene expression enhancements, and migration cleanups; improved typing and test coverage; boosted reliability and performance for multi-gene queries and large datasets.
March 2025 monthly summary for stjude/proteinpaint highlighting delivery of HDF5/TPM workflow enhancements and stabilization work across Rust and TypeScript components. Focused on enabling TPM data ingestion, robust data paths to the UI, and maintainable, well-documented codebase with improved validation and JSON outputs.
March 2025 monthly summary for stjude/proteinpaint highlighting delivery of HDF5/TPM workflow enhancements and stabilization work across Rust and TypeScript components. Focused on enabling TPM data ingestion, robust data paths to the UI, and maintainable, well-documented codebase with improved validation and JSON outputs.
February 2025 monthly summary for stjude/proteinpaint: Delivered reliability-focused enhancements to table exports, introduced inline barplots for key scores within table columns, and cleaned production logs by removing an unnecessary console log. These efforts improved data export integrity, in-context data interpretation, and maintainability, delivering measurable business value for researchers relying on accurate exports and clear visual cues in tables.
February 2025 monthly summary for stjude/proteinpaint: Delivered reliability-focused enhancements to table exports, introduced inline barplots for key scores within table columns, and cleaned production logs by removing an unnecessary console log. These efforts improved data export integrity, in-context data interpretation, and maintainability, delivering measurable business value for researchers relying on accurate exports and clear visual cues in tables.
Monthly summary for 2025-01 focusing on development work in stjude/proteinpaint. Key achievements include extensive testing, documentation improvements, and UI/visualization refinements that increase reliability and maintainability. Highlights: - DecimalPlacesUntilFirstNonZero: Documentation and tests added (docs: Add additional documentation for decimalPlacesUntilFirstNonZero tests). Commit references: 7ce408ceaa7a90372b5f2a55aaa0c4c3530eabbb; 8189c7c7f656414e1cfb28703b0f1535841d243b. - ParseRange function tests for numericRangeInput.ts: Comprehensive test suite covering exact values, ranges, decimals, negatives, whitespace, and error handling. Commit: d9b5dbf363af92ff669ab023e4175797a420670e. - Max label width utilities consolidation and tests: Centralize label width calculations, adopt type-safe getMaxLabelWidth, add client/dom utility, test maxLabelWidth, and move summary.utils to client/dom. Commits: 566032c2bd19d4186efd9f9819985f33da62ddcb; bc4cfb979112577b3c31dfa74a8e0619bb26595c; 7e1bb0a428fba5cf886cb890a8d689241697e9a0; 05c0c340d8deb3c48292b9b784d1501960885bda; d043c1b6680d96ac86aeadf1ecfd83c7d443dc00. - Color scale enhancements for sample scatter plot: New color scaling modes, improved persistence/state management, synchronization fixes, and cleanup. Commits: 512f4fdf7c8be97753e37e295edf7be78abb9d11; fa8142b5bde09a12f9ccf686fdb0e3c24da066a5; f6b3ac1604d1cf4efc05c0d920eb08c61767a8f3; 1173ce2556e85d872189cb6c9ed989147b1f7e18; 89d89a635da24c1ae7f994d05bd951782417c6f5; 7d957633f8fc6492655587217c5e6f249856f4e2; 386f2703d683a8f9ff9a72617a324d0bce5460b9. Overall impact: These contributions increase test coverage, reduce regression risk, improve visualization fidelity, and enhance maintainability. They lay groundwork for more robust releases and quicker onboarding for new contributors. Technologies/skills demonstrated: TypeScript, unit/integration testing, test-driven development, utility refactoring and consolidation, client/dom architecture shifts, and UI state management for complex visualizations.
Monthly summary for 2025-01 focusing on development work in stjude/proteinpaint. Key achievements include extensive testing, documentation improvements, and UI/visualization refinements that increase reliability and maintainability. Highlights: - DecimalPlacesUntilFirstNonZero: Documentation and tests added (docs: Add additional documentation for decimalPlacesUntilFirstNonZero tests). Commit references: 7ce408ceaa7a90372b5f2a55aaa0c4c3530eabbb; 8189c7c7f656414e1cfb28703b0f1535841d243b. - ParseRange function tests for numericRangeInput.ts: Comprehensive test suite covering exact values, ranges, decimals, negatives, whitespace, and error handling. Commit: d9b5dbf363af92ff669ab023e4175797a420670e. - Max label width utilities consolidation and tests: Centralize label width calculations, adopt type-safe getMaxLabelWidth, add client/dom utility, test maxLabelWidth, and move summary.utils to client/dom. Commits: 566032c2bd19d4186efd9f9819985f33da62ddcb; bc4cfb979112577b3c31dfa74a8e0619bb26595c; 7e1bb0a428fba5cf886cb890a8d689241697e9a0; 05c0c340d8deb3c48292b9b784d1501960885bda; d043c1b6680d96ac86aeadf1ecfd83c7d443dc00. - Color scale enhancements for sample scatter plot: New color scaling modes, improved persistence/state management, synchronization fixes, and cleanup. Commits: 512f4fdf7c8be97753e37e295edf7be78abb9d11; fa8142b5bde09a12f9ccf686fdb0e3c24da066a5; f6b3ac1604d1cf4efc05c0d920eb08c61767a8f3; 1173ce2556e85d872189cb6c9ed989147b1f7e18; 89d89a635da24c1ae7f994d05bd951782417c6f5; 7d957633f8fc6492655587217c5e6f249856f4e2; 386f2703d683a8f9ff9a72617a324d0bce5460b9. Overall impact: These contributions increase test coverage, reduce regression risk, improve visualization fidelity, and enhance maintainability. They lay groundwork for more robust releases and quicker onboarding for new contributors. Technologies/skills demonstrated: TypeScript, unit/integration testing, test-driven development, utility refactoring and consolidation, client/dom architecture shifts, and UI state management for complex visualizations.
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