Noémi Kreif is an Assistant Professor of Health Economics at the CHOICE Institute, University of Washington School of Pharmacy. She develops and applies causal inference and machine learning methods to evaluate health policies and treatments, with a focus on how effects vary across people and what this implies for targeting and policy design. She previously held positions at the University of York and the London School of Hygiene and Tropical Medicine.
Noémi Kreif is an Assistant Professor of Health Economics at the CHOICE Institute, University of Washington School of Pharmacy. Her research develops causal inference and machine learning methods for evaluating health policies and treatments. She uses them to study how effects vary, for example which patients or households benefit most from a treatment or an insurance program, and how such evidence can inform targeting and policy design.
She has applied these methods to national health insurance reforms, provider payment policies, digital primary care, mental health and economic outcomes, and the health effects of conflict and violence, in high-income and low- and middle-income countries. She was a member of the ISPOR task force that produced the PALISADE checklist on machine learning in health economics and outcomes research, and she leads the UW graduate course on machine learning in health economics and outcomes research.
Before joining the University of Washington in 2024, she was a Senior Research Fellow at the Centre for Health Economics, University of York, and a Lecturer and MRC Early Career Fellow at the London School of Hygiene and Tropical Medicine, where she received her PhD in Health Economics in 2013.
