Yong Chen, PhD
Associate Professor of Biostatistics
Dr. Chen directs a Computing, Inference and Learning Lab at University of Pennsylvania, which focuses on integrating fundamental principles and wisdoms of statistics into quantitative methods for tackling key challenges in modern biomedical data. He is an expert in synthesis of evidence from multiple data sources, including systematic review and meta-analysis, distributed algorithms, and data integration, with applications to comparative effectiveness studies, health policy, and precision medicine. He is also working on developing methods to deal with suboptimal data quality issues in health system data, dynamic risk prediction, pharmacovigilance, and personalized health management. He has over 100 publications in a wide spectrum of methodological and clinical areas.
For more information, please visit Dr. Chen's research lab website: https://penncil.med.upenn.edu.
Content Area Specialties
Biobank Data, Electronic health-record data, Evidence-based Medicine, Pharmacovigilance, Medical Informatics
Methodology of Evidence Synthesis; Statistical Inference under Non-standard Conditions, Robust Inference and Composite Likelihood