Dr. Moses Kebalepile

Moses Kebalepile is a South African researcher whose work bridges biostatistics, environmental health, and clinical outcomes research. His scholarship reflects a strong focus on applying advanced statistical and machine learning methods to address public health and perioperative challenges, particularly within resource-limited African settings.

His environmental health research leverages remote sensing, ensemble modeling, and imputation techniques to improve air quality exposure assessment where monitoring data are sparse. Through applications of algorithms such as Random Forests, self-organizing maps, and multiple imputation, he has contributed to more reliable pollution estimates and deeper understanding of respiratory outcomes, including asthma.

In clinical research, Kebalepile has examined predictors of surgical and cardiopulmonary outcomes, including congenital cardiac surgery and lung resection. His work emphasizes risk stratification, survival analysis, and evidence synthesis, strengthening perioperative decision-making and highlighting healthcare disparities in the South African context.