Hsuan-Yin Lin received his Ph.D. in Electrical Engineering from National Chiao Tung University, Taiwan. His research aims to develop the information-theoretic foundations of trustworthy quantum and distributed learning systems, spanning information theory, quantum information, coding theory, and differential privacy.
His current research focuses on quantum error correction, privacy-preserving learning, and finite-blocklength information theory, with particular interests in the fundamental limits of communication and learning, efficient coding and decoding methods, and the interplay between quantum information and modern machine learning. His work seeks to bridge rigorous information-theoretic foundations with practical communication and computing systems. He has been actively involved in national and international research projects and collaborations across Europe, Asia, and industry. He serves as an Associate Editor for the IEEE Transactions on Communications and was the General Chair of the 2026 IEEE European School of Information Theory (ESIT).