AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Chair professor, CSIE, NYCU.) Thesis : Self-supervised pulse-aware and interpretable disentangled ECG representation learning. Proposed a self-supervised learning framework with two-fold training efficiency compared to the existing methods. The proposed framework offers a clinically interpretable representation , a crucial aspect in clinical applications. I proactively organized a regular research study group with other lab members to progress our research . Participating in research projects : a comprehensive description is in "Project Experiences". Skills : Database buildup (SQL), Data Engineering (NumPy, SciPy, Pandas), M achine Learning (Scikit learn), Deep Learning (PyTorch, PyTorch lightning), C/C
Full-time / Interested in working remotely
National Yang Ming Chiao Tung University・
Computer Science