Mariel Finucane

Mariel Finucane is an expert in using Bayesian hierarchical modeling and tree-based methods to study social policies. Her most recent work has focused on healthcare, in areas such as primary care delivery, inpatient harm prevention, and hospital readmission reductions. Her team’s analyses provide intuitive, flexible inference and heightened precision when examining subgroup effects while maintaining a rigorous statistical standard.

Finucane has served as the lead Bayesian statistician on a number of large-scale evaluations for the Centers for Medicare & Medicaid Services, including evaluations of Primary Care First, the Transforming Clinical Practice Initiative, Comprehensive Primary Care, Comprehensive Primary Care Plus, Partnership for Patients, and Independence at Home.

Finucane has published widely about statistical methods, primary care, and population health, including first-author papers in the Journal of the American Statistical Association, Statistical Science, Statistical Methods in Medical Research, and Journal of Evaluation. She was also the first author of an article in the Lancet on global trends in body mass index that has been cited more than 4,000 times. Finucane holds a Ph.D. in biostatistics from the Harvard School of Public Health.