About

3rd-year ECE PhD Candidate at Purdue University specializing in AI/ML research for audio, music, and multimodal systems. Researching generative model steering, stem separation, Transformers for error detection, and deepfake detection. Track record of high-impact research, including publications at AAAI, WACV and papers currently under review at top-tier venues with exceptional feedback. I am proficient in Audio DSP, Python, PyTorch, TensorFlow, and HPC clusters. I also have organizational and communication skills (experience organizing 3 AI4Music workshops).

Education

• Ph.D. in Electrical & Computer Engineering, Purdue University — West Lafayette, IN (2023 – Present) (GPA: 3.8/4.0)
• B.Sc. in Electrical Engineering, National Cheng Kung University — Tainan, Taiwan (2020 – 2023) (GPA: 4.0/4.3)