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Hanieh Yaghootkar leads a multidisciplinary research team that combines advanced statistical methods, machine learning, artificial intelligence, and genetic epidemiology to investigate complex human diseases. Her work harnesses large-scale human datasets to identify causal biomarkers, develop personalized prediction models, and uncover the biological mechanisms that drive disease risk and progression. Through her research, she contributes to advancing precision health and improving outcomes through data-driven innovation.