Scott Wood is a lead psychometrician specializing in machine scoring at ACT, with over fourteen years of experience in the educational assessment industry. They adeptly utilized linear regression, statistical and machine learning, and natural language processing to analyze text data and develop automated essay scoring systems. Previously, Scott held various roles at Pacific Metrics and the University of Arkansas for Medical Sciences, contributing to research and operational projects in automated scoring and statistics. Scott earned a PhD in Psychological and Quantitative Foundations from the University of Iowa, along with a Master’s in Statistics and a Bachelor’s in Mathematics, Quantitative Methods, and Computer Science.
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