A Computing, Inference and Learning lab at Penn School of Medicine
Director of the Penn Computing, Inference and Learning (PennCIL) lab
Welcome From Yong Chen, PhD
Improving human health by prime insights from data
In the last decade, there has been major advances in the production and collection of data, from medical research to patient wellness regimes. These vast new troves of data from electronic health records, claims/billing data, product/disease registries, genetic/genomic databases, medical devices and wearables offer a unique opportunity to make health care more proactive. Transforming these data into insights requires deep understanding of the provenance of the data, the collection procedure of the samples, the intercorrelations among the variables, the quality of the data, and the uncertainty associated with the analytical results from models.
Our overriding objective is to develop, apply and disseminate new methods and software for evidence generation using clinical trial and real-world data, and to bridge the gap from data to insights, and from insights to actionable health care.
For examples of our innovative research projects, please visit our xmeta-project (put a hyperlink here: https://xmeta.org/) as a comprehensive tool for advanced meta-analysis, and pda-project (put a hyperlink here: https://pdamethods.org/) as an innovative solution for next generation data sharing for multi-institutional studies.
On behalf of our lab members, I want to thank the continuous funding supports from NIH, PCORI and
- Oct 31
Yong Chen, PhD, FASA, FAMIA, Professor of Biostatistics, and the Founding Director of the Computing, Inference, and Learning Lab at the University of Pennsylvania (PENNCIL) and the Center for Health
- Oct 25
🎉 Congratulations to PhD student Jessie Tong on winning the Titan Award for methodological research at 2023 OHDSI Global Symposium
🎉 Congratulations to PhD student Jessie Tong on winning the Titan Award for methodological research at 2023 OHDSI Global Symposium! Also congratulations to all the other 2023 OHDSI award winners!
- Oct 25
UPenn AMCS graduate student Bingyu Zhang shared her work on quantifying racial/ethnic differences in pediatric long COVID during the lightning talk session at 2023 OHDSI Global Symposium. Link to the
- Oct 25
UPenn AMCS graduate student Lu Li shared her work on synthesizing evidence for rare events: a novel zero-inflated bivariate model to integrate studies with double-zero outcomes during the lightning talk