Methods + simulation
Develop statistical models and open-source simulations to study the transplant system and evaluate policy alternatives.
We use advanced computational and statistical methods to inform how scarce donor lungs can provide the greatest benefit to society.
Our purpose
U.S. lung allocation has steadily advanced, but today's transplant system is dynamic, interconnected, and difficult to evaluate with traditional methods alone. Our lab builds models that make those relationships visible—and policy alternatives testable before they affect patients.
Our work focuses on improving both fairness and utility: equitable access to transplant, improved recipient outcomes, and more effective stewardship of a scarce donor supply.
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Our research
Develop statistical models and open-source simulations to study the transplant system and evaluate policy alternatives.
Study how lung allocation policies shape candidate prioritization, access to transplantation, and use of the donor supply.
Examine socioeconomic and biological differences in access to transplantation and outcomes.
Study survival, donor and recipient risk factors, and the costs of care before and after transplantation.
People behind the models
Research support
Supported by the National Heart, Lung, and Blood Institute (NHLBI) through an R01 award to our multi-investigator project at Cleveland Clinic Lerner College of Medicine of Case Western Reserve University.
View the NIH project record ↗