Hi, I’m Rich (Chen-Feng) Tsai

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I am a machine learning researcher with an M.S. in Applied Data Science from the University of Chicago (GPA 3.97/4.0) and a B.A. in Data Science and Economics from UC Berkeley. My research focuses on generative models for audio and sequential data, autoregressive and multi-codebook architectures, multi-task learning and knowledge distillation, and robustness in long-horizon generation. I currently work as a Research & Development Specialist at Academia Sinica, with publications at ISMIR, ACM SIGIR, and under review at AAAI.

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