Bike Xie is currently a VP of engineering in Kneron Inc, San Diego. He is and has been working on system architecture design for AI chip, deep learning model compression, and algorithm design for deep learning applications. He received his B.S. degree in electronic engineering from Tsinghua University, Beijing, in 2005. He received his M.S. and the Ph.D. degrees in electrical engineering from the University of California, Los Angeles in 2006 and 2010 respectively. At UCLA, he worked on a broad range of research topics including capacity regions and encoding schemes for broadcast channels, download-time regions for peer-to-peer networks, packet coding and exchange for broadcast networks, universal turbo codes for space-time channels, and channel code design for optical communications. Bike then joined Marvell Semiconductor Inc., Santa Clara in 2010. At Marvell, he led a system team design physical layer systems and specifications for 6Gbps to 112Gbps SerDes systems, and capacitive touchscreen systems. Since 2017, he has been with Kneron Inc.