Center for Health AI and Synthesis of Evidence (CHASE)
Advancing new methods and software for evidence generation using clinical trial and real-world data and bridging the gap from data to insights, and from insights to actionable health care.
Advancing new methods and software for evidence generation using clinical trial and real-world data and bridging the gap from data to insights, and from insights to actionable health care.
Professor of Biostatistics and Informatics
Dr. Chen is the Founding Director of the Center for Health Analytics and Synthesis of Evidence (CHASE) at the Perelman School of Medicine, University of Pennsylvania. He also founded and directs the Penn Computing, Inference, and Learning Lab (PennCIL), which focuses on integrating fundamental statistical principles with quantitative methods to address key challenges in modern biomedical data. An expert in synthesizing evidence from multiple data sources, Dr. Chen specializes in systematic reviews, meta-analyses, distributed algorithms, and data integration, with applications in comparative effectiveness studies, health policy, and precision medicine. He has authored over 200 peer-reviewed papers, including 70 on statistical methodologies and 70 on medical informatics. Dr. Chen’s research has received continuous funding from the NIH, AHRQ, and PCORI.
Our research team brings together faculty, staff, postdoctoral fellows, and students working across biostatistics, artificial intelligence, clinical informatics, and evidence synthesis.
Scientific Programmer
Project Manager
Instructor
Research Associate
Postdoctoral Fellow
Postdoctoral Researcher
Postdoctoral Researcher
PhD Student, Applied Math and Computational Science
PhD Candidate in Biostatistics
PhD Student, Applied Math and Computational Science
PhD Student, Applied Math and Computational Science
PhD Student, Applied Math and Computational Science