Peng Ju is a highly skilled researcher with extensive experience in the fields of physics and machine learning. At Xi'an Jiaotong University, Peng Ju conducted numerical simulations for optomechanics systems as an undergraduate researcher. Subsequent roles included positions at Georgia Institute of Technology focusing on Quantum Error Correction and a graduate assistantship at Purdue University under the mentorship of Professor Tongcang Li. Currently, Peng Ju is a research scientist at Meta specializing in ads ranking machine learning, following a graduate research assistantship collaborating with Eli Lilly and Company. Additional experience includes developing an X-ray image-based anomaly detection algorithm for Howmet Aerospace and a research scientist internship at InfoBeyond Technology LLC. Research interests encompass levitated optomechanics, quantum vacuum fluctuations, and spin qubits, supported by a strong academic background with a PhD candidacy at Purdue University.
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