معرفی
Xi He is an Assistant Professor at the Cheriton School of Computer Science, University of Waterloo. Her research centers on privacy and security for big data, with a focus on developing trustworthy tools for machine learning and data exploration. She holds a Ph.D. from Duke University (2018) and an M.Sc. from Duke University (2015).
Her work spans privacy-preserving data analytics, secure ML frameworks, and algorithmic fairness. Recent publications emphasize explainable AI for brain aging, neural tangent kernels, and graph-structured learning. She actively investigates transferability of covariance networks in neuroimaging contexts.
Dr. He's articles reveal a strong emphasis on theoretical ML foundations applied to neuroscience, with innovations in model interpretability and high-dimensional data analysis. She leads research on graph-constrained algorithms and adaptive statistical methods.
