Academic Doctor with Emergency Medicine and Clinical Toxicology background. Associate Editor at Emergency Medicine Journal. Experienced applying machine learning methods to noisy datasets to deliver meaningful outcomes.

Machine learning experience: Large Language Models, synthetic data generation, graph-based data architectures, causal inference methods, Bayesian modelling techniques, interpretable and black-box machine learning approaches. Applications to: patient outcome prediction, injury trajectory modelling, counterfactual causal inference.

Translational experience in: pre-clinical rodent studies, phase 1 & 2 clinical trials, advanced therapies, small molecules.