Cheng-An Yang is an experienced engineer with a strong background in signal processing and machine learning. Cheng-An's professional journey includes roles as a Research Assistant at Academia Sinica, where a low complexity MIMO decoding algorithm was developed, and as a Senior System Engineer at Qualcomm, focusing on statistical signal processing and the implementation of a Bayesian inference engine for 4G and 5G data pipelines. Cheng-An also gained valuable experience as a Graduate Student Researcher at UCLA, specializing in MIMO decoding algorithms and Monte Carlo simulation algorithms. Currently, Cheng-An is a Software Engineer at Meta, working on machine learning and uncertainty quantification. Academic achievements include a Ph.D. in Electrical Engineering from UCLA and a Bachelor of Science in Electrical Control Engineering from National Chiao Tung University.
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