Yong Chen
Dr. Yong Chen is an Associate Professor of Biostatistics at the Perelman School of Medicine, University of Pennsylvania (Penn). He is the PI of the PennCIL lab. He is also a Senior Fellow at the Institute of Biomedical Informatics, a Senior Scholar at the Center for Evidence-based Practice at Penn School of Medicine, and a faculty member at the Applied Mathematics & Computational Science Program, Penn Arts & Sciences. His lab collaborates with informaticians, epidemiologists, clinicians and patients to promote health by novel quantitative methods. A key emphasis of his lab is to integrating fundamental principles and wisdoms of statistics into quantitative methods for tackling key challenges in inferring modern biomedical data. He has been working on applied statistics, biomedical informatics, bioinformatics, and evidence-based medicine. His main research interests are bias reduction methods in electronic medical records, dynamic risk prediction, pharmacovigilance, personalized health management strategies using data-driven approaches, integration of heterogeneous data sources, and evidence synthesis. He has served as a principal investigator or co-Investigator of more than 20 projects, funded by NIH, PCORI and AHRQ, and has published over 100 papers at peer reviewed journals.
Dr. Chen received his Bachelor degree in Mathematics in 2003 at the University of Science and Technology of China, Master degree in Pure Mathematics in 2005, and Ph.D. In Biostatistics in 2010 at the Johns Hopkins University under the supervision of Professor Kung-Yee Liang and Professor Charles Rohde. He was the recipient of Sommer Scholar named after the Dean of School of Public Health of the Johns Hopkins University during 2005-2010, and the Margaret Merrell Award for excellence in research, which recognizes outstanding research of a doctoral student at graduation, in 2010. He was also a recipient of the Institute of Mathematical Statistics IMS Travel Award in 2015. He was elected as a member of Society for Research Synthesis Methodology and a member of the International Statistical Institute in 2018.
