Xilin Liu is an Assistant Professor of Electrical and Computer Engineering at the University of Toronto. He received his Ph.D. from the University of Pennsylvania, USA. Before joining the University of Toronto, he held industrial positions at Qualcomm, USA. His research interests include mixed-signal IC and bioelectronics design with edge machine learning, especially for neural interfaces and brain-machine interfaces. He has co-authored two books along with publications on Nature Electronics, PNAS, and top-tier IEEE transactions. His first-author papers have received three Best Paper Awards at renowned international conferences. He also received the Solid-State Circuits Society (SSCS) Predoctoral Achievement Award in 2016. His industrial experience includes contributions to premium IC products including the world’s first commercial 5G chipset.

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  • Assistant Professor
  • Bioelectronics
  • Neural Interface
  • Brain-Machine Interface
  • Integrated Circuits
  • Machine Learning