I develop and apply data-driven methods at the intersection of machine learning, healthcare, information systems, and operations to solve important problems in healthcare and society.
My work leverages machine learning, causal inference, computational biology, and decision support to generate insights and build tools that inform better decisions and improve outcomes.
Our recent paper, Individual Versus Institutional Philanthropy: Crowdfunding During Crises, studies how individual and institutional donors respond when a global crisis suddenly changes the demand for resources. Publi...
Read publicationOur paper, “Will machines take over? Algorithms for human–machine collaborative decision making in healthcare,” was published online in Production and Operations Management on April 3, 2026. The paper asks a central q...
Read publicationOur paper, “Economics of AI and human task sharing for decision making in screening mammography,” was published in Nature Communications. The study asks a practical question facing healthcare organizations as artifici...
Read publicationDeveloping and applying machine learning methods for high-dimensional, complex data.
Building data-driven solutions to improve healthcare delivery, diagnosis, and outcomes.
Designing and studying information systems that support data-driven decision-making.
Applying analytical and optimization methods to improve operations and decision processes.