Pauline Ding

Dr. Pauline Ding is a Lecturer at the School of Mathematics and Applied Statistics, University of Wollongong, since 2022. She holds a Ph.D. in Mathematical Statistics from the Australian National University and previously worked as a consulting statistician at the same institution.

• Research Interests: Statistical inference in linear mixed models, bootstrap methods, multivariate density estimation, and data privacy.
• Teaching: Focuses on statistical disclosure control, missing data, complex models, and bootstrap applications.
• Funding: Involved in grants for high-performance computing upgrades and AI ethics research.

Publications: Span healthcare AI, postoperative delirium, data privacy, and socioeconomic disparities in health outcomes. Her work emphasizes methodological innovation and interdisciplinary applications.

Supervision: Actively supervises PhD projects on synthetic longitudinal data and cardiovascular machine learning, with completed work on diabetes risk and data privacy.