您好，我目前是一名計算機背景的研究生，研究領域主要聚焦於聯邦學習、醫療影像分割與隱私保護技術。我致力於開發能兼顧精度與隱私的 AI 模型，並善用開源工具與公共數據集實現可重現的研究。
同時，我也在製造業公司實習，參與基於工業影像的品質檢測系統開發，將學術研究中的 AI 模型應用於實際產線環境。期望未來能持續在醫療與工業領域中推動可信賴的 AI ，並透過開源社群與更多開發者交流、成長。
Hi! I’m currently a graduate student with a background in computer science. My research focuses on federated learning, medical image segmentation, and privacy-preserving machine learning. I’m passionate about building reproducible AI systems using open-source tools and public datasets, especially for privacy-aware healthcare applications.
Alongside my academic research, I’m also interning in the manufacturing industry, working on industrial image-based quality inspection systems. I’m interested in bridging academic AI with real-world deployment in both healthcare and industrial settings. Looking forward to connecting with more developers and researchers in the open-source community!