During January 2026, Shizhe Wang focused on improving the reliability of DeepLabCut’s training workflows by addressing a key issue in the DeepLabCut/DeepLabCut repository. He identified and fixed a misleading log message related to the freeze_bn_stats parameter in the training configuration, clarifying that setting freeze_bn_stats to true is recommended for optimal performance on powerful GPUs. Using Python and leveraging his expertise in deep learning and machine learning, Shizhe’s update reduced user confusion and improved onboarding efficiency. While no new features were released, his work enhanced the clarity of configuration guidance, supporting more effective and reliable model training for users.