Sheng Zhang is a Senior Researcher at Microsoft with a decade of experience in natural language processing, specializing in information extraction, semantic parsing, commonsense inference, and question answering. He earned a Ph.D. in NLP from Johns Hopkins after studies at Peking University and Beijing University of Posts and Telecommunications, and his career includes research internships at Amazon Alexa AI and multiple positions at Microsoft that produced large-scale datasets and benchmarks. Notably, during a Microsoft internship he helped build ReCoRD, a reading-comprehension dataset that highlighted gaps between human and model commonsense reasoning. Sheng combines deep academic rigor with product-minded research, consistently targeting tasks that bridge benchmark design and real-world dialogue systems. Based in Redmond, he brings both publication-quality research and pragmatic engineering experience to applied AI problems. Colleagues describe him as someone who turns challenging linguistic phenomena into measurable progress against state-of-the-art models.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Information Engineering, Bachelor's degree, Information Engineering at Beijing University of Posts and Telecommunications
Master's degree, Computer Science, Master's degree, Computer Science at Peking University
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