George Maldonado

George Maldonado, PhD, MSPH, is an Associate Professor in the Division of Environmental Health Sciences at the University of Minnesota School of Public Health. With a strong academic foundation from UCLA, where he earned his PhD and MSPH in Epidemiology and Environmental Health, Dr. Maldonado has established himself as a leading researcher in causal inference methods within epidemiology.

His research focuses on methodological approaches to causal inference from epidemiologic data, with particular expertise in uncertainty analysis, quantitative bias assessment, and the application of counterfactual theory. Dr. Maldonado's work bridges environmental health, infectious disease epidemiology, and methodological innovation, contributing significantly to the theoretical foundations of epidemiological science.

His publication record demonstrates a consistent contribution to epidemiological methodology, with recent work exploring the intersection of artificial intelligence and epidemiological methods, including investigations into how AI and chatbots might assist in epidemiological research and manuscript preparation. His scholarly output spans from foundational theoretical work to practical applications in risk analysis and environmental health.

• Member, Delta Omega Honorary Society in Public Health

Dr. Maldonado's research program addresses critical methodological challenges in epidemiology, with particular focus on improving how researchers assess causality, quantify uncertainty, and address various forms of bias in observational studies. His work has implications for environmental health research, infectious disease modeling, and evidence-based public health decision-making.