Xin He

Xin Xin is a SoC/CPU Architect at Tenstorrent Inc. since May 2022, specializing in CPU performance modeling, SoC architecture, and fabric testing. Prior experience includes serving as an Assistant Research Scientist at the University of Michigan from November 2018 to May 2022, focusing on energy-efficient acceleration of sparse linear algebra for graph analytics and scientific computing, and a Postdoctoral Associate at Washington University in St. Louis from January 2017 to November 2018. Additional experience includes a Deep Learning Research Internship at Bytedance Inc. in late 2016 and a Research Assistant role at the Institute of Computing Technology from September 2011 to December 2016. Xin Xin holds a Ph.D. in Computer Architecture from the University of Chinese Academy of Sciences, earned in 2016.