OHDSI/Data2Evidence
Oct 2025 – Mar 2026
6 Months active
Languages Used
JavaScriptSCSSTypeScriptVueJSONHTMLSQL
Technical Skills
NodeVuefront end developmentfull stack developmentReactVue.js
Maggie Li Yundi
PROFILE
Maggie Li Yundi
Maggie Li developed and enhanced data quality, visualization, and user experience features for the OHDSI/Data2Evidence repository over six months. She implemented robust input validation, drag-and-drop UI components, and advanced charting, using JavaScript, TypeScript, and Vue.js. Her work included backend integration for inclusion reporting, performance improvements through build system migration to Vite, and comprehensive end-to-end and unit testing. Maggie addressed data integrity by preventing duplicate and invalid entries, improved accessibility and internationalization, and streamlined error messaging. Her engineering approach emphasized maintainability, responsive interfaces, and scalable data workflows, resulting in a more reliable and user-friendly analytics platform.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
30Total
Bugs
4
Commits
30
Features
14
Lines of code
13,621
Activity Months6
Your Network
13 peopleSame Organization
@data4life-asia.care6
Work History
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 focused on delivering high-value data visualization and reporting features in OHDSI/Data2Evidence, with a strong emphasis on performance, usability, and internationalization. Key features were released, supported by backend integration and caching to ensure responsive experiences for large datasets. The work also included targeted bug fixes to ensure accuracy and stability in reports and visuals, setting the stage for scalable adoption across teams.
4 Commits • 2 Features
Mar 1, 2026March 2026 focused on delivering high-value data visualization and reporting features in OHDSI/Data2Evidence, with a strong emphasis on performance, usability, and internationalization. Key features were released, supported by backend integration and caching to ensure responsive experiences for large datasets. The work also included targeted bug fixes to ensure accuracy and stability in reports and visuals, setting the stage for scalable adoption across teams.
March 2026
February 2026
5 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for OHDSI/Data2Evidence: Focused on delivering user-centric improvements to inclusion reporting, charting, and concept-set management. Key outcomes include enabling drag-and-drop reordering of inclusion rules in the attrition view, enhancing treemap/table drilldown charts for accessibility and clarity, and strengthening concept-set data handling with robust fetches and non-empty-name validation across frontend and backend, with translated error messages. These changes improve report accuracy, user productivity, and data integrity, supporting faster, more reliable data-driven decisions.
February 2026
5 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for OHDSI/Data2Evidence: Focused on delivering user-centric improvements to inclusion reporting, charting, and concept-set management. Key outcomes include enabling drag-and-drop reordering of inclusion rules in the attrition view, enhancing treemap/table drilldown charts for accessibility and clarity, and strengthening concept-set data handling with robust fetches and non-empty-name validation across frontend and backend, with translated error messages. These changes improve report accuracy, user productivity, and data integrity, supporting faster, more reliable data-driven decisions.
January 2026
4 Commits • 3 Features
Jan 1, 2026In Jan 2026, OHDSI/Data2Evidence delivered four priority items across data integrity, UX, performance, and visualization. Delivered an end-to-end test to prevent duplicate concept set names, added drag-and-drop for filter cards to empower users to customize layouts, migrated the build system to Vite to improve performance and development experience, and enhanced dashboard visuals with axis formatting improvements and additional visualization features. These changes reduce data integrity risks, accelerate development and testing, improve data presentation, and strengthen the product's scalability for researchers and analysts.
4 Commits • 3 Features
Jan 1, 2026In Jan 2026, OHDSI/Data2Evidence delivered four priority items across data integrity, UX, performance, and visualization. Delivered an end-to-end test to prevent duplicate concept set names, added drag-and-drop for filter cards to empower users to customize layouts, migrated the build system to Vite to improve performance and development experience, and enhanced dashboard visuals with axis formatting improvements and additional visualization features. These changes reduce data integrity risks, accelerate development and testing, improve data presentation, and strengthen the product's scalability for researchers and analysts.
January 2026
December 2025
13 Commits • 3 Features
Dec 1, 2025December 2025 summary for OHDSI/Data2Evidence focusing on business value, reliability, and user experience. Delivered a cohesive set of features and fixes that accelerate cohort generation, enhance data visualization, and improve input handling, while strengthening error messaging and data integrity.
December 2025
13 Commits • 3 Features
Dec 1, 2025December 2025 summary for OHDSI/Data2Evidence focusing on business value, reliability, and user experience. Delivered a cohesive set of features and fixes that accelerate cohort generation, enhance data visualization, and improve input handling, while strengthening error messaging and data integrity.
November 2025
3 Commits • 2 Features
Nov 1, 2025In November 2025, focused on strengthening data quality, user experience, and maintainability within OHDSI/Data2Evidence. Key features delivered include enhanced user-facing validation and error messaging for cohort and concept set names, supported by end-to-end tests for cohort name validation; and a UX/maintainability improvement for the Patient Analytics Atlas by disabling the enter fullscreen button and cleaning up logging. No explicit critical bugs were introduced; the work primarily reduced edge-case validation errors and improved developer/operational visibility through cleaner logs. Overall, these changes contribute to faster user issue resolution, clearer feedback loops, and more robust data governance. Technologies and skills demonstrated include JavaScript/TypeScript, UI/UX considerations, end-to-end testing, logging practices, and disciplined, commit-driven delivery across the repository.
3 Commits • 2 Features
Nov 1, 2025In November 2025, focused on strengthening data quality, user experience, and maintainability within OHDSI/Data2Evidence. Key features delivered include enhanced user-facing validation and error messaging for cohort and concept set names, supported by end-to-end tests for cohort name validation; and a UX/maintainability improvement for the Patient Analytics Atlas by disabling the enter fullscreen button and cleaning up logging. No explicit critical bugs were introduced; the work primarily reduced edge-case validation errors and improved developer/operational visibility through cleaner logs. Overall, these changes contribute to faster user issue resolution, clearer feedback loops, and more robust data governance. Technologies and skills demonstrated include JavaScript/TypeScript, UI/UX considerations, end-to-end testing, logging practices, and disciplined, commit-driven delivery across the repository.
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Implemented Bookmark Name Validation and Trimming for PA bookmarks in OHDSI/Data2Evidence, enhancing robustness, user feedback, and data quality. Added integration and end-to-end tests to verify functionality. Work linked to ticket Analyze-1041 with commit c58d44c920399493ca69b2b31f04082515cc2ae8.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Implemented Bookmark Name Validation and Trimming for PA bookmarks in OHDSI/Data2Evidence, enhancing robustness, user feedback, and data quality. Added integration and end-to-end tests to verify functionality. Work linked to ticket Analyze-1041 with commit c58d44c920399493ca69b2b31f04082515cc2ae8.
Activity
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Quality Metrics
Correctness87.4%
Maintainability82.0%
Architecture82.0%
Performance82.6%
AI Usage31.4%
Skills & Technologies
Programming Languages
HTMLJSONJavaScriptSCSSSQLTypeScriptVue
Technical Skills
API integrationFront End DevelopmentJavaScriptNodeNode.jsReactTypeScriptUI/UX DesignUI/UX designViteVueVue.jsVuetifyback end developmentbackend integration
Repositories Contributed To
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