This work integrates causal inference, machine learning models, explainable AI tools, and statistical techniques to address challenges in public health and healthcare systems. The projects provide practical insights into the impact of cardiovascular infarctions on self-rated health and develop data-driven approaches for evaluating ICU physician performance, assessing drug effects on nausea and vomiting during pregnancy, and supporting hospital administrators in improving physician evaluation and enhancing the quality of patient care.
