Dylan Spicker

Dylan Spicker is an Assistant Professor in the Department of Mathematics and Statistics at the University of New Brunswick. His research focuses on statistical methodology with applications in healthcare analytics, measurement error correction, and differential privacy. He holds a position at UNB's Saint John campus in Ganong Hall 230 and can be contacted via dylan.spicker@unb.ca.

Spicker's work bridges theoretical statistics and applied problems in medicine and public health. He explores topics such as dynamic treatment regimes, privacy-preserving algorithms, and the interplay between sociodemographic factors and health outcomes. Recent research emphasizes improving predictive models using error-prone data and developing robust methodologies for nonadherence in clinical studies.

His publications reflect a multidisciplinary approach, combining machine learning techniques with rigorous statistical analysis. Notable themes include differential privacy applications in healthcare datasets and advancing methodologies for handling measurement errors in precision medicine contexts.

While no formal awards are listed, his active publication record indicates sustained contributions to statistical theory and applied health research. His advising and grant activities remain unspecified in available records. Spicker’s work is typically conducted within the university’s mathematics and statistics academic framework without explicit lab affiliations mentioned.