معرفی
Shu-Xia Li is an Associate Director of Data Management and Analytics at the Center for Outcomes Research & Evaluation (CORE) within the Yale School of Medicine. She holds a PhD in Biostatistics (2010) and MS in Biostatistics (2005) from Yale University, alongside earlier degrees in Molecular and Cellular Biology (PhD, Ohio University, 1996) and Biology/Genetics (BS, Sichuan University, 1989).
Her research focuses on healthcare outcomes, including clinical trials, quality measure development, and applying advanced analytics to healthcare data. She has pioneered work in phenotyping drug/procedure variation, risk prediction modeling, and AI-driven imaging analysis. Collaborations with CMS and institutions like YNHH highlight her role in hospital quality surveillance and precision medicine initiatives.
Her recent publications address pandemic impacts on mortality disparities, cardiovascular risk management, and long-COVID treatment trials. She frequently collaborates with leaders like Harlan Krumholz and Kumar Dharmarajan, contributing to over 60 peer-reviewed articles.