About

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.