
Developed and documented a Benamou-Brenier Optimal Mass Transport (OMT) workflow for image morphing and interpolation in the bioshape-analysis/blog repository. Leveraged PyTorch to implement the OMT algorithm, enabling physically meaningful shape interpolation that improves upon linear methods. Authored two Quarto documents to explain both the theoretical concepts and practical implementation, enhancing user understanding and reproducibility. Addressed content and metadata issues by correcting image references and removing unnecessary Jupyter kernel specifications, ensuring accurate blog post rendering. Demonstrated skills in scientific computing, image processing, and technical writing, delivering an end-to-end solution from algorithm development through documentation and release readiness.
December 2024 monthly summary for bioshape-analysis/blog focusing on feature delivery, bug fixes, and business value. Key features delivered: - Implemented Benamou-Brenier formulation of Optimal Mass Transport (OMT) for image morphing and interpolation, including a PyTorch-based OMT script and two Quarto documents that explain concepts and implementation. This enables physically meaningful shape interpolation over linear methods and enhances visual realism in morphing workflows. Major bugs fixed: - Content and metadata corrections for the OMT blog post, including removal of a Jupyter kernel spec from metadata and correction of the image filename reference to ensure proper display of the OMT example image. Overall impact and accomplishments: - Delivered a reproducible OMT workflow and educational material, improving technical rigor, demonstrability, and user comprehension of advanced morphing techniques. Reduced publish-time issues and metadata drift in technical blog content. Technologies/skills demonstrated: - PyTorch-based numerical methods and OMT concepts, Quarto documentation, metadata and asset management for blog content, and basic version-control traceability through commit references.
December 2024 monthly summary for bioshape-analysis/blog focusing on feature delivery, bug fixes, and business value. Key features delivered: - Implemented Benamou-Brenier formulation of Optimal Mass Transport (OMT) for image morphing and interpolation, including a PyTorch-based OMT script and two Quarto documents that explain concepts and implementation. This enables physically meaningful shape interpolation over linear methods and enhances visual realism in morphing workflows. Major bugs fixed: - Content and metadata corrections for the OMT blog post, including removal of a Jupyter kernel spec from metadata and correction of the image filename reference to ensure proper display of the OMT example image. Overall impact and accomplishments: - Delivered a reproducible OMT workflow and educational material, improving technical rigor, demonstrability, and user comprehension of advanced morphing techniques. Reduced publish-time issues and metadata drift in technical blog content. Technologies/skills demonstrated: - PyTorch-based numerical methods and OMT concepts, Quarto documentation, metadata and asset management for blog content, and basic version-control traceability through commit references.

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