Summary
Yuki Saito is a lecturer in the System #1 Lab at the University of Tokyo and a cross-appointment fellow at AIST, with 11 years of experience spanning academia and industry. His research focuses on speech synthesis, voice conversion, and machine learning, grounding cutting-edge ML techniques in practical audio and voice applications. He progressed through roles from doctoral researcher and JSPS fellow to faculty positions, and has collaborated with industry labs including DeNA and NTT, bridging fundamental research and applied R&D. Based in Bunkyō, Tokyo, he holds an advanced degree in information science from the University of Tokyo and began his technical training in electronic information systems. Notably, he secured a JST BOOST cross-appointment fellowship at AIST, signaling recognition for translational impact beyond pure academia. His profile combines deep signal-processing expertise with a track record of moving voice technologies toward real-world deployment.
11 years of coding experience
博士(情報理工学), システム情報学専攻, 博士(情報理工学), システム情報学専攻 at 東京大学
学士(工学), 電子情報システム工学, 学士(工学), 電子情報システム工学 at kushiro National College of Technology
Japanese, Chinese