
Harvey Wang developed and refined medical image classification workflows for the arvindkrishna87/STAT390_SP25_CMIL repository over three months, focusing on deep learning and attention mechanisms. He implemented end-to-end pipelines using Python and PyTorch, integrating EfficientNet and ResNet architectures with CBAM modules to enhance model attention and generalization. Harvey addressed data imbalance and reproducibility by improving preprocessing, data splitting, and evaluation strategies. He also led ensemble experiments across staining methods and maintained thorough project documentation. His work culminated in production-ready deliverables and polished presentations, demonstrating strong code organization, artifact management, and a disciplined approach to machine learning model development and handoff.
June 2025 monthly summary for arvindkrishna87/STAT390_SP25_CMIL. Focused on finalizing and polishing the batch 1 presentation and consolidating the final deliverables. No major bugs reported this month; all work centered on creating production-ready artifacts with a clear commit history for auditability and handoff.
June 2025 monthly summary for arvindkrishna87/STAT390_SP25_CMIL. Focused on finalizing and polishing the batch 1 presentation and consolidating the final deliverables. No major bugs reported this month; all work centered on creating production-ready artifacts with a clear commit history for auditability and handoff.
May 2025 Monthly Summary for arvindkrishna87/STAT390_SP25_CMIL: Delivered attention-focused modeling enhancements via CBAM integration, initiated ensemble-oriented experimentation, and strengthened project documentation and governance. The month also included targeted data handling improvements and preparation of week-by-week presentation materials to support reproducibility and communications.
May 2025 Monthly Summary for arvindkrishna87/STAT390_SP25_CMIL: Delivered attention-focused modeling enhancements via CBAM integration, initiated ensemble-oriented experimentation, and strengthened project documentation and governance. The month also included targeted data handling improvements and preparation of week-by-week presentation materials to support reproducibility and communications.
Delivered two end-to-end medical image classification features for arvindkrishna87/STAT390_SP25_CMIL in April 2025, establishing a reproducible ML workflow and benchmarking setup.
Delivered two end-to-end medical image classification features for arvindkrishna87/STAT390_SP25_CMIL in April 2025, establishing a reproducible ML workflow and benchmarking setup.

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