Noemi Kreif
Senior Research Fellow

Profile

Biography

Dr Kreif’s research is centred around causal impact evaluation of health interventions and policies. She enjoys incorporating methodological innovations from statistics, causal inference and machine learning to provide robust answers to policy-relevant research questions. As part of the Global Health Economics team at the Centre for Health Economics, her most recent research papers focussed on health policy issues in low- and middle-income countries, such as the heterogenous policy impacts of national health insurance reforms in Indonesia, or the health impacts of civil conflict in Colombia.

Dr Kreif has received grant funding from UK and international funding bodies both as principal investigator (Medical Research Council (MRC)), and co-investigator (MRC, National Institute for Health Research, European Commission). From September 2020, she has been leading a three-year methodological research grant, bringing together expertise from health economics, causal inference and computer science. The project aims to develop a framework that estimates heterogenous policy effects and optimal health policy allocation rules under (e.g. budget) constraints, and incorporates these estimates into economic evaluations of health policies.

Prior to joining the Centre for Health Economics, Dr Kreif was a lecturer at the London School of Hygiene and Tropical Medicine, where she previously received her PhD (2013) and conducted her post-doctoral work (MRC Early Career Fellowship in the Economics of Health). Her appointments as visiting scholar at UC Berkeley (2010 and 2015) and with Kaiser Permanente Division of Research (2016) provided her advanced training in causal inference and machine learning, and lead to fruitful research collaborations. Before her PhD, she worked at an international pharmacoeconomics consulting company.

Dr Kreif has published widely in leading health economics and statistics journals, such as Health Economics, Journal of Health Economics, Economics and Human Biology, Statistical Methods in Medical Research, American Journal of Epidemiology and Biometrics. For a full list of publications by Noemi Kreif, please see her Google Scholar page.

Beyond research, Dr Kreif enjoys delivering talks and courses on causal inference methods. She finds PhD supervision and mentoring junior researchers especially fulfilling, however due to ongoing commitments she is unable to take on further students before the end of 2022.

Research

Research group(s)

• Global Health