Min Zhang is a People Research Scientist with nine years of experience using experimental design, advanced statistical modeling, and text analysis to translate behavioral data into actionable workplace insights. Currently at Facebook, she combines rigorous R-based workflows (regression, hierarchical models, ggplot, RMarkdown) with hands-on survey and experiment implementation (Qualtrics, MTurk) to improve productivity, inclusivity, and employee well-being. Her academic foundation—PhD in Management Sciences and Quantitative Methods from UC San Diego—underpins a track record of leading projects from conception to publication and mentoring large research teams. Min’s work spans industry and academia, from diagnosing engagement drivers at Micron to rapid product research at Humu, and she brings a rare fluency in both structured quantitative modeling and unstructured text analysis. An often-overlooked strength is her capacity to craft reproducible, audience-tailored narratives that turn complex statistical results into practical recommendations for cross-functional partners.
9 years of coding experience
9 years of employment as a software developer
University of California San Diego
Bachelor of Science, Psychology, Bachelor of Science, Psychology at Fudan University
MA, Psychology, MA, Psychology at New York University
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