Cheng Chen is a Senior Software Engineer at Google since February 2017, focusing on machine learning applications and video codec optimization for projects such as improving YouTube encoding performance in collaboration with DeepMind and optimizing the AV1 encoder for real-time conferencing. Prior experience includes an internship at Google where contributions were made to the VP9 codec and a research internship at Siemens focusing on device tracking in medical images. Cheng Chen also served as a Research Assistant at The University of Iowa, developing hybrid algorithms for surface mesh generation and modeling human trabecular bone micro-structure from CT scans. Cheng Chen holds a Ph.D. in Electrical and Computer Engineering from the University of Iowa and a B.S. in Automation from Tsinghua University.
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