Biostatistics, Uncertainty Quantification, Bayesian Statistics, Metabolomics, Medical Education
Dr. Lee is a senior statistician working in the Department of Critical Care Medicine, Alberta Health Services and University of Calgary. His primary research interest is centered on the theory and application of statistical reasoning when prior information is unavailable using imprecise probabilities (https://cran.r-project.org/web//packages/imprecise101/index.html) and the development of efficient sampling algorithm in high dimensions (https://cran.r-project.org/web/packages/dsample/index.html) for evidence-based care delivery to critically ill patients. Topics in Critical Care and Statistics are statistical reasoning and modeling for clinical decision-making and medical education, Bayesian applications, classification and clustering problems, follow-up and functional data analysis, and intervention time-series analysis using biomedical, survey, and physiological data for clinical and precision medicine.