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Shengjun Ren is a highly experienced professional in the fields of software engineering and quantum information processing, with a strong academic background culminating in a PhD from the University of Cambridge. Notable experience includes developing advanced hologram compression algorithms at VividQ, contributing to quantum secure communication protocols at the University of Cambridge, and enhancing wind power prediction accuracy through machine learning techniques at Toshiba Corporation. Additional roles include algorithm development for data centers at the University of Bristol and a brief involvement in corporate development at Huawei. Shengjun Ren's work consistently aims to advance technology in both photonics and machine learning domains.