Portfolio

My name is Christina Vu. I am pursuing a master’s degree in Statistics at the University of South Carolina.

My professional experience includes internships as a Data Analyst at Micron Technology and Reinsurance Group of America, where I analyzed large datasets to find insights that support business decisions. As a researcher, I applied statistical methods to understand patterns and solve real world challenges.

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Projects

Comparing Human and AI Scoring in Oral Reading Accuracy

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Estimation of Misclassification Rates for Human and AI Reading Accuracy Measurements

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Evaluating Individual Defensive Contributions on the Penalty Kill

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Exploratory Data Analysis: Scoring in the NHL

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Research

Yuqiu Yang, Christina Vu, Cornelis J. Potgieter, Xinlei Wang, Akihito Kamata (2025). Inference for Error-Prone Count Data: Estimation under a Binomial Convolution Framework. arXiv:2506.20596

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