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We work on theory, methods, and applications of statistics, machine learning, and causal inference in real world health problems
Bayesian Inference & Decision Theory
Health Applications
Causal Inference
Robustness & Model Misspecification
Explicit Regularisation in GNIs
The Adversarial Robustness of VAEs