![Xinyue Pan](/sites/default/files/styles/ieuser_profile/public/user-image/xinyue-pan/b83a1267-xinyuepanweb-2940_12.jpg?h=ecc07480&itok=DU8hipfK)
Ph.D. Student - Industrial Engineering
Education
- Ph.D. Industrial Engineering (Expected 2024), Georgia Institute of Technology
- M.S. Statistics (2016), Georgia Institute of Technology
- B.S. Statistics (2014), Colorado State University
Xinyue Pan is a Ph.D. candidate in Industrial Engineering at Georgia Tech, specializing in demand forecasting within supply chain management. With a strong foundation in Statistics, complemented by a minor in Machine Learning, she harnesses advanced analytics techniques, including deep learning, to optimize predictive models. As a Graduate Research Assistant in the Physical Internet lab, Xinyue collaborates on industry-sponsored projects, employing machine learning to revolutionize demand forecasting practices in supply chains.