Donald Lee

Donald Lee is an Associate Professor in the Department of Biostatistics and Bioinformatics at Emory University. His research focuses on integrating machine learning and statistical methods to address challenges in healthcare analytics, survival analysis, and operations research. He specializes in developing predictive models for real-time clinical monitoring, healthcare resource optimization, and understanding cyclic patterns in customer or patient data.

Key research themes include:

• Dynamic survival analysis using boosted nonparametric hazards
• Machine learning applications in ICU mortality prediction and invasive ventilation risk assessment
• Time-series analysis of clinical and customer data streams
• Cyclical arrival rate modeling and distributional forecasting

His work bridges methodological advancements with practical healthcare systems optimization, particularly in emergency department operations and nursing productivity evaluation. He has developed open-source tools like BoXHED for scalable survival analysis, demonstrating commitment to reproducible research.

Current projects involve refining real-time prediction systems using language models and exploring distributional forecasts beyond point estimates. While no specific awards are listed, his contributions to healthcare analytics demonstrate impactful interdisciplinary research.