معرفی
Chenxi Huang is an Associate Research Scientist in the Department of Cardiovascular Medicine at the Yale School of Medicine. She holds appointments in the Cardiovascular Medicine and Center for Outcomes Research & Evaluation (CORE). Her research focuses on biomedical data analysis, integration of imaging modalities, and machine learning applications in healthcare. Huang earned her PhD in Biomedical Engineering from Yale University (2015), following an MS in Electrical Engineering (Yale) and a bachelor’s degree in Information Engineering from Shanghai Jiaotong University.
Her work bridges clinical data science and cardiovascular outcomes research, with notable contributions to studies on hypertension management, long-COVID syndromes, and acute kidney injury prognosis. Collaborations include projects with leading figures like Harlan Krumholz and Yuan Lu, addressing real-world healthcare challenges through EHR analysis and predictive modeling.
Publications highlight her expertise in cardiovascular surgery outcomes, blood pressure variability, and algorithmic approaches to medical diagnostics. She actively contributes to translational research, leveraging interdisciplinary methods to improve patient care and population health strategies.