معرفی
Yao Xie is the Coca-Cola Foundation Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology (Georgia Tech), where she joined as an Assistant Professor in 2013. She also serves as Associate Director of Machine Learning at the Center for Machine Learning and is an Adjunct Professor in the School of Electrical and Computer Engineering (ECE). Her academic career includes holding the Harold R. and Mary Anne Nash Early Career Professorship (2017–2023) and prior roles as a Research Scientist at Duke University (2012–2013).
- Education: Ph.D. in Electrical Engineering with Mathematics minor (Stanford, 2012), M.S. in Electrical and Computer Engineering (University of Florida, 2006), and B.S. in Electrical Engineering and Computer Science (USTC, 2004).
Her research spans statistics, machine learning, and optimization, focusing on sequential data analysis, change-point detection, spatio-temporal modeling, and robust learning. Recent work emphasizes generative models for conformal prediction, deep spatio-temporal point processes, and applications in healthcare and urban systems.
The 15 most recent publications highlight her expertise in spatio-temporal modeling, generative AI, and uncertainty quantification. Key themes include flow-based conformal prediction, Hawkes processes for event modeling, and deep learning for change detection in robotics, energy systems, and healthcare.
Scientific honors include the INFORMS Donald P. Gaver, Jr. Early Career Award (2022), CWS Woodroofe Award (2024), NSF CAREER Award (2017), and multiple scholarships and fellowships. She co-mentored Shixiang Zhu (Woody), whose work was recognized with the INFORMS Wagner Prize Finalist (2021).
Her grants include NSF CMMI-2015787 for data-driven policing, NSF SCALE MoDL Program (2022–2024) for reliability in deep learning, and contributions to the NSF AI Institute for Advances in Optimization. She has collaborated with institutions like the City of Atlanta, City of South Fulton, and the Center for Disease Control (CDC).
