Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull
Feb 2026 – Feb 2026
1 Month active
Languages Used
MATLAB
Technical Skills
MATLABMATLAB scriptingdata analysisdata visualizationexperimental designfile management
David Chung
PROFILE
David Chung
Developed and delivered two core imaging data analysis features for the Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull repository, focusing on MATLAB scripting and data visualization. Introduced a robust retinotopic mapping workflow through a new 2P Imaging Data Analysis script, enabling standardized processing of imaging datasets. Enhanced usability and onboarding by creating a comprehensive OriAnalysis tutorial that guides users through data loading, orientation tuning analysis, statistical modeling, and visualization. Improved code maintainability by refactoring and removing obsolete files, reorganizing scripts, and ensuring traceable commits. These efforts increased analysis throughput, reproducibility, and long-term maintainability for experimental imaging data workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
2,176
Activity Months1
Your Network
10 peopleWork History
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull: Focused delivery of key imaging data analysis capabilities and usability improvements. Delivered two major features: (1) 2P Imaging Data Analysis - Retinotopic Mapping MATLAB script enabling robust retinotopic mapping workflows, with traceable commits; (2) OriAnalysis Tutorial and Usability Enhancements providing end-to-end guidance for data loading, processing, orientation tuning analysis, statistical testing, plotting tuning curves, and model verification. Also completed Codebase Cleanup and Refactor to remove obsolete cross-orientation experiments files and reorganize/rename scripts for clarity and maintainability. These efforts improve analysis throughput, reproducibility, onboarding, and long-term maintainability, aligning with business goals of reliable, scalable imaging data analysis.
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull: Focused delivery of key imaging data analysis capabilities and usability improvements. Delivered two major features: (1) 2P Imaging Data Analysis - Retinotopic Mapping MATLAB script enabling robust retinotopic mapping workflows, with traceable commits; (2) OriAnalysis Tutorial and Usability Enhancements providing end-to-end guidance for data loading, processing, orientation tuning analysis, statistical testing, plotting tuning curves, and model verification. Also completed Codebase Cleanup and Refactor to remove obsolete cross-orientation experiments files and reorganize/rename scripts for clarity and maintainability. These efforts improve analysis throughput, reproducibility, onboarding, and long-term maintainability, aligning with business goals of reliable, scalable imaging data analysis.
February 2026
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
MATLABMATLAB scriptingdata analysisdata visualizationexperimental designfile managementimage processingscript organizationstatistical modeling
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