
Worked on the ScrollPrize/villa repository, delivering advanced features for 3D reconstruction, neural tracing, and ink analysis pipelines. Leveraged Python and C++ to implement robust data processing, experiment tracking with Weights & Biases, and GPU-accelerated mesh rendering. Enhanced fiber direction extraction, spiral fitting, and surface tracer evaluation, introducing scalable data pipelines and Zarr-backed storage for efficient handling of volumetric data. Improved code maintainability through targeted refactoring, batch signaling, and documentation updates. Addressed edge-case bugs in neural tracing and spiral unwrapping, while optimizing performance with parallel programming and hyperparameter tuning. The work enabled reproducible experiments and streamlined onboarding for contributors.
July 2026 performance: Delivered major enhancements to ScrollPrize/villa focusing on speed, accuracy, and maintainability. Key features improved ink rendering and analysis pipeline (full-scroll rendering, windings concatenation, SLIM flattening, GPU-accelerated flattener) and spiral fitting with area-weighted metrics, stratified sampling, and multi-stage flow fields. Fixed spiral unwrapping theta=0 crossing, tightened DT losses tolerances, and default decimation for rendering stability. Strengthened governance and onboarding with updated getting-started content and CODEOWNERS. Business impact: faster, more robust ink prediction and reporting; higher cartography fidelity; reduced production risk; and clearer contributor ownership, enabling faster feature delivery.
July 2026 performance: Delivered major enhancements to ScrollPrize/villa focusing on speed, accuracy, and maintainability. Key features improved ink rendering and analysis pipeline (full-scroll rendering, windings concatenation, SLIM flattening, GPU-accelerated flattener) and spiral fitting with area-weighted metrics, stratified sampling, and multi-stage flow fields. Fixed spiral unwrapping theta=0 crossing, tightened DT losses tolerances, and default decimation for rendering stability. Strengthened governance and onboarding with updated getting-started content and CODEOWNERS. Business impact: faster, more robust ink prediction and reporting; higher cartography fidelity; reduced production risk; and clearer contributor ownership, enabling faster feature delivery.
January 2026: ScrollPrize/villa — Delivered major neural tracer enhancements for VC3D and associated maintenance. Implemented improved direction finding and neighbor selection in the neural tracer, added bootstrapping support (pre_neural_generations=0), and optimized batch construction in GrowPatch. Performed code cleanup (e.g., removal of unused slots in trace.py) and expanded evaluation tooling, including an evaluation script for neural traces within vc_grow_seg_from_seed and clearer patch naming. These changes improve accuracy, reliability, and experimentation throughput, streamline maintenance, and prepare VC3D workflows for broader adoption. Notable commits reflected in this work: b0f2507dbebf8fddf798e8bd7beba873e4f80633; ed694710445676987992ac2b740000458ad3ae04.
January 2026: ScrollPrize/villa — Delivered major neural tracer enhancements for VC3D and associated maintenance. Implemented improved direction finding and neighbor selection in the neural tracer, added bootstrapping support (pre_neural_generations=0), and optimized batch construction in GrowPatch. Performed code cleanup (e.g., removal of unused slots in trace.py) and expanded evaluation tooling, including an evaluation script for neural traces within vc_grow_seg_from_seed and clearer patch naming. These changes improve accuracy, reliability, and experimentation throughput, streamline maintenance, and prepare VC3D workflows for broader adoption. Notable commits reflected in this work: b0f2507dbebf8fddf798e8bd7beba873e4f80633; ed694710445676987992ac2b740000458ad3ae04.
December 2025: Stability and reliability improvements for ScrollPrize/villa's neural tracing cropping workflow. Implemented a robust bug fix that rounds the min_corner to the nearest integer to handle non-integer inputs, preventing errors and improving overall pipeline reliability. The change was implemented in commit 3484ab7ae02b31736e00b97276985f391212b467 and aligns with our goal of reducing edge-case failures, improving data quality, and lowering operational risk in production.
December 2025: Stability and reliability improvements for ScrollPrize/villa's neural tracing cropping workflow. Implemented a robust bug fix that rounds the min_corner to the nearest integer to handle non-integer inputs, preventing errors and improving overall pipeline reliability. The change was implemented in commit 3484ab7ae02b31736e00b97276985f391212b467 and aligns with our goal of reducing edge-case failures, improving data quality, and lowering operational risk in production.
Month 2025-11: Delivered batch signaling for VCCollection to report multiple collections added at once (collectionsAdded), enabling efficient UI updates and improved performance during large collection changes. Refactored signaling and loadJSON path to minimize unnecessary updates by signaling only collection-level changes, reducing render churn. No major bugs fixed this month. Impact: smoother UI for large datasets, lower CPU time during updates, and clearer telemetry through commit traceability.
Month 2025-11: Delivered batch signaling for VCCollection to report multiple collections added at once (collectionsAdded), enabling efficient UI updates and improved performance during large collection changes. Refactored signaling and loadJSON path to minimize unnecessary updates by signaling only collection-level changes, reducing render churn. No major bugs fixed this month. Impact: smoother UI for large datasets, lower CPU time during updates, and clearer telemetry through commit traceability.
September 2025: Delivered end-to-end evaluation tooling for ScrollPrize/villa surface tracers, strengthened metric semantics, and expanded analysis capabilities with targeted z-range support and seed management. Implemented robust input handling to improve reliability and prevent crashes, and enhanced documentation and configuration for reproducible experiments with WandB integration.
September 2025: Delivered end-to-end evaluation tooling for ScrollPrize/villa surface tracers, strengthened metric semantics, and expanded analysis capabilities with targeted z-range support and seed management. Implemented robust input handling to improve reliability and prevent crashes, and enhanced documentation and configuration for reproducible experiments with WandB integration.
August 2025 – ScrollPrize/villa: Focused on delivering precise fiber tracing and direction infrastructure to unlock more accurate analyses, scalable data pipelines, and maintainable code. Achievements include robust Patch Tracing and GrowPatch enhancements with multi-field fiber direction support, plus a forward-looking fiber direction extraction pipeline with Zarr-backed storage. These changes improve accuracy of fiber tracing, enable richer direction data for downstream models, and reduce maintenance overhead while supporting scalable data workflows.
August 2025 – ScrollPrize/villa: Focused on delivering precise fiber tracing and direction infrastructure to unlock more accurate analyses, scalable data pipelines, and maintainable code. Achievements include robust Patch Tracing and GrowPatch enhancements with multi-field fiber direction support, plus a forward-looking fiber direction extraction pipeline with Zarr-backed storage. These changes improve accuracy of fiber tracing, enable richer direction data for downstream models, and reduce maintenance overhead while supporting scalable data workflows.
July 2025 (2025-07) focused on improving ML experiment observability and reproducibility by introducing Weights & Biases logging into the model training workflow for ScrollPrize/villa. The integration enables tracking of training metrics, hyperparameters, configurations, and artifacts across runs, empowering data-driven iteration and faster debugging. This work is anchored by the commit adding wandb logging in vesuvius.models trainer.
July 2025 (2025-07) focused on improving ML experiment observability and reproducibility by introducing Weights & Biases logging into the model training workflow for ScrollPrize/villa. The integration enables tracking of training metrics, hyperparameters, configurations, and artifacts across runs, empowering data-driven iteration and faster debugging. This work is anchored by the commit adding wandb logging in vesuvius.models trainer.

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