Alexandra Nyman is a skilled technical writer and ML content designer at Microsoft, specializing in text moderation and bias mitigation within the US Machine Learning Content Intelligence Team. In addition, Alexandra serves as a linguist in research and development at Vital Text Systems, focusing on enhancing the clarity and reliability of written language in requirements documents. Previously, Alexandra completed a PhD in Linguistics at the University of Massachusetts Amherst, emphasizing formal systems learnability, phonological theory, and childhood language acquisition. Alexandra's diverse experience includes roles at Lionbridge Technologies as a computational linguist, Data Analyst at Brandwatch, and Linguistics Architect at DigitalGenius, along with earlier tutoring and research assistant positions. Alexandra holds three Bachelor’s degrees from Rutgers University in Cognitive Science, Visual and Performing Arts, and Linguistics, as well as a Master of Arts in Linguistics from the University of Massachusetts Amherst.
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