Carol Wang is a doctoral student in Statistical Science at Duke University with a strong academic record (3.8/4.0) and a bachelor's degree in Mathematics and Statistics from Nanjing University. Carol has served as a teaching assistant for various courses at Duke University, including STA602, STA610, and STA440, and participated as a pro-bono consultant for the Duke APD Consulting Club, where improvements for Duke OPTIONS were identified based on client survey data. Carol gained practical experience as a data science intern at Meta, focusing on Ads Infrastructure, and contributed to infrastructure projects related to AI and capacity abstraction. Additionally, Carol served as a workshop speaker for the Duke Datathon and has experience as a research intern.
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