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What We Study
Our Graphical Models in AI research cluster brings together mathematics, computer science, and health research to uncover cause-and-effect relationships and advance health policy and practice.
Causal graphs map how factors influence one another, helping researchers evaluate interventions, reduce bias, and understand whether findings apply across populations. We champion their transparent and rigorous use in health research.
Our six research themes span causal discovery from data and literature, nutrition policy, healthcare fairness, drug safety, and personalized care. Through interdisciplinary collaboration and lasting international partnerships, we aim to turn methodological advances into better health outcomes.