Noemi Kreif holds a PhD (2013) from the London School of Hygiene and Tropical Medicine. Her PhD and post-doctoral (Medical Research Council Early Career Fellowship) work focussed on advancing statistical methods (e.g. doubly robust approaches, synthetic control methods) for economic evaluation that uses observational data, resulting in publications in leading health economics and statistics journals, such as Health Economics, Statistical Methods in Medical Research, American Journal of Epidemiology and Biometrics.

Her current work is centred on econometric evaluations of health policies in low and middle-income countries, with applications ranging from the evaluation of national health insurance in Indonesia to the estimation of the impact of civil conflict on health outcomes in Colombia.  Her current methodological work focuses on applying and extending causal inference and machine learning approaches to investigate the heterogeneous impacts of health policies, to enable the estimation of optimal policy allocation rules.  Noemi has been collaborating with HEHTA researchers on methodological guidance for economic evaluations of health policies alongside natural experiments (https://www.sciencedirect.com/science/article/pii/S027795361830666X)