Scholar
Yong Chen
Google Scholar ID: U7M_JZ4AAAAJ
Professor of Biostatistics, The University of Pennsylvania
Citations & Impact
Citations
8,589
H-index
42
i10-index
150
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Authored over 260 peer-reviewed papers in statistics and medical informatics. Elected Fellow of the American Statistical Association and the American College of Medical Informatics. Awards include 2023 Elected Fellow of the American College of Medical Informatics (ACMI), 2023 Best of Annals of Applied Statistics, and 2022 Winner of the Best Paper in Biometrics by an IBS Member Award.
Research Experience
- Extensive experience leading multi-site studies across major national research networks, particularly within the PCORnet infrastructure. Serves as the contact Principal Investigator of an $8 million U01 award funded by NCATS, developing AI-driven predictive models for early diagnosis of rare diseases. Co-leads the IMPACT-MH initiative, a $13 million NIH-funded U24 project supporting a $150 million mental health research ecosystem. Leads the ReCARDO initiative, supported by a $27.2 million U24 grant from NIA, aiming to leverage electronic health records, claims, mobile apps, and wearable devices to accelerate discoveries in Alzheimer’s disease and related dementias. Also serves as the Biostatistics Lead for PEDSnet.
Education
- Ph.D. in Biostatistics from the Bloomberg School of Public Health, Johns Hopkins University, with thesis advisors Prof. Kung-Yee Liang and Prof. Charles Rohde; M.A. in Mathematics from the Department of Mathematics, Johns Hopkins University; B.S. in Mathematics from the University of Science and Technology of China.
Background
- Research interests include real-world data, clinical evidence generation, learning health system, and healthcare delivery. Currently a Professor of Biostatistics and Founding Director of the Center for Health AI and Synthesis of Evidence (CHASE) at the University of Pennsylvania, and also directs the Penn Computing, Inference, and Learning (PennCIL) lab.
Co-authors