Department: Applied and Computational Mathematics and Statistics
Research Interests: Data privacy, differential privacy, statistical machine learning
One of the major research Interests of Liu is data privacy and differential privacy. Differential privacy provides a strong mathematical guarantee for individual privacy when releasing information and data. Liu's work focus on generating differentially private synthetic data, differentially private optimization problems, understanding of the statistical and inferential properties of the differentially private analyses, among others. Liu is also interested in understanding fairness and bias of machine learning algorithms and algorithmic decision-making.